From 3772623297ad315635cea98f1e15845b79fd30ca Mon Sep 17 00:00:00 2001 From: Maanil Verma Date: Fri, 17 Jul 2026 17:22:03 +0530 Subject: [PATCH] test(onboarding): drop vendored template fixtures from resolver unit test The 5 committed template JSONs (~340KB) were hand-vendored copies of upstream Comfy-Org/workflow_templates consumed only by roleResolver.test.ts. They drift silently from what the backend serves and bloat the repo, while production fetches templates live. Delete the JSONs, their fs-based loader, and the linguist-generated entries. Prune roleResolver.test.ts to its fixture-free coverage: the synthetic-graph logic and security tests (prompt selection, subgraph traversal, prototype- pollution guards, malformed-link resilience, registry sink fallback) stay as fast offline unit tests; the three cases that read a fixture are rebuilt on synthetic graphs. The curated-template pins move to an e2e that verifies the resolver against the live templates (next commit). --- .gitattributes | 3 - .../__fixtures__/loadTemplateWorkflow.ts | 27 - .../templates/flux_kontext_dev_basic.json | 1378 ----- .../templates/image_krea2_turbo_t2i.json | 2066 ------- .../templates/image_z_image_turbo.json | 1064 ---- .../templates/video_ltx2_3_i2v.json | 5061 ----------------- .../templates/video_wan2_2_14B_i2v.json | 3154 ---------- .../firstRunTour/roleResolver.test.ts | 230 +- 8 files changed, 92 insertions(+), 12891 deletions(-) delete mode 100644 src/renderer/extensions/firstRunTour/__fixtures__/loadTemplateWorkflow.ts delete mode 100644 src/renderer/extensions/firstRunTour/__fixtures__/templates/flux_kontext_dev_basic.json delete mode 100644 src/renderer/extensions/firstRunTour/__fixtures__/templates/image_krea2_turbo_t2i.json delete mode 100644 src/renderer/extensions/firstRunTour/__fixtures__/templates/image_z_image_turbo.json delete mode 100644 src/renderer/extensions/firstRunTour/__fixtures__/templates/video_ltx2_3_i2v.json delete mode 100644 src/renderer/extensions/firstRunTour/__fixtures__/templates/video_wan2_2_14B_i2v.json diff --git a/.gitattributes b/.gitattributes index 1735223efc..722d05e446 100644 --- a/.gitattributes +++ b/.gitattributes @@ -6,6 +6,3 @@ packages/registry-types/src/comfyRegistryTypes.ts linguist-generated=true packages/ingest-types/src/types.gen.ts linguist-generated=true packages/ingest-types/src/zod.gen.ts linguist-generated=true src/workbench/extensions/manager/types/generatedManagerTypes.ts linguist-generated=true - -# Vendored upstream workflow templates used as resolver test fixtures -src/renderer/extensions/firstRunTour/__fixtures__/templates/*.json linguist-generated=true diff --git a/src/renderer/extensions/firstRunTour/__fixtures__/loadTemplateWorkflow.ts b/src/renderer/extensions/firstRunTour/__fixtures__/loadTemplateWorkflow.ts deleted file mode 100644 index 11b1eff054..0000000000 --- a/src/renderer/extensions/firstRunTour/__fixtures__/loadTemplateWorkflow.ts +++ /dev/null @@ -1,27 +0,0 @@ -import fs from 'node:fs' -import path from 'node:path' - -import type { ComfyWorkflowJSON } from '@/platform/workflow/validation/schemas/workflowSchema' -import { - zComfyWorkflow, - zComfyWorkflow1 -} from '@/platform/workflow/validation/schemas/workflowSchema' - -import type { CuratedTemplateId } from '../roleResolver' - -const TEMPLATES_DIR = path.join(import.meta.dirname, 'templates') - -/** Loads a curated template's real workflow, validated so a bad fixture fails loudly. */ -export function loadTemplateWorkflow(id: CuratedTemplateId): ComfyWorkflowJSON { - const file = path.join(TEMPLATES_DIR, `${id}.json`) - const data: unknown = JSON.parse(fs.readFileSync(file, 'utf-8')) - const schema = - (data as { version?: number }).version === 1 - ? zComfyWorkflow1 - : zComfyWorkflow - const result = schema.safeParse(data) - if (!result.success) { - throw new Error(`Invalid template fixture "${id}": ${result.error.message}`) - } - return result.data -} diff --git a/src/renderer/extensions/firstRunTour/__fixtures__/templates/flux_kontext_dev_basic.json b/src/renderer/extensions/firstRunTour/__fixtures__/templates/flux_kontext_dev_basic.json deleted file mode 100644 index e7c35dd074..0000000000 --- a/src/renderer/extensions/firstRunTour/__fixtures__/templates/flux_kontext_dev_basic.json +++ /dev/null @@ -1,1378 +0,0 @@ -{ - "id": "7cbcec68-7fa6-47bb-a38a-da689949a001", - "revision": 0, - "last_node_id": 192, - "last_link_id": 305, - "nodes": [ - { - "id": 184, - "type": "MarkdownNote", - "pos": [ - -959.9999638913625, - 39.99998792240308 - ], - "size": [ - 510, - 600 - ], - "flags": {}, - "order": 0, - "mode": 0, - "inputs": [], - "outputs": [], - "title": "Model links", - "properties": { - "ue_properties": { - "widget_ue_connectable": {}, - "version": "7.7", - "input_ue_unconnectable": {} - } - }, - "widgets_values": [ - "[tutorial](https://docs.comfy.org/tutorials/flux/flux-1-kontext-dev)\n\n**diffusion model**\n\n- [flux1-dev-kontext_fp8_scaled.safetensors](https://huggingface.co/Comfy-Org/flux1-kontext-dev_ComfyUI/resolve/main/split_files/diffusion_models/flux1-dev-kontext_fp8_scaled.safetensors)\n\n**vae**\n\n- [ae.safetensors](https://huggingface.co/Comfy-Org/Lumina_Image_2.0_Repackaged/blob/main/split_files/vae/ae.safetensors)\n\n**text encoder**\n\n- [clip_l.safetensors](https://huggingface.co/comfyanonymous/flux_text_encoders/blob/main/clip_l.safetensors)\n- [t5xxl_fp16.safetensors](https://huggingface.co/comfyanonymous/flux_text_encoders/resolve/main/t5xxl_fp16.safetensors) or [t5xxl_fp8_e4m3fn_scaled.safetensors](https://huggingface.co/comfyanonymous/flux_text_encoders/resolve/main/t5xxl_fp8_e4m3fn_scaled.safetensors)\n\nModel Storage Location\n\n```\nšŸ“‚ ComfyUI/\nā”œā”€ā”€ šŸ“‚ models/\nā”‚ ā”œā”€ā”€ šŸ“‚ diffusion_models/\nā”‚ ā”‚ ā””ā”€ā”€ flux1-dev-kontext_fp8_scaled.safetensors\nā”‚ ā”œā”€ā”€ šŸ“‚ vae/\nā”‚ ā”‚ ā””ā”€ā”€ ae.safetensor\nā”‚ ā””ā”€ā”€ šŸ“‚ text_encoders/\nā”‚ ā”œā”€ā”€ clip_l.safetensors\nā”‚ ā””ā”€ā”€ t5xxl_fp16.safetensors ꈖ者 t5xxl_fp8_e4m3fn_scaled.safetensors\n```\n" - ], - "color": "#222", - "bgcolor": "#000" - }, - { - "id": 186, - "type": "MarkdownNote", - "pos": [ - -959.9999638913625, - 749.9999752850742 - ], - "size": [ - 510, - 1940 - ], - "flags": {}, - "order": 1, - "mode": 0, - "inputs": [], - "outputs": [], - "title": "Flux Kontext Prompt Techniques", - "properties": { - "ue_properties": { - "widget_ue_connectable": {}, - "version": "7.7", - "input_ue_unconnectable": {} - } - }, - "widgets_values": [ - "\n## Flux Kontext Prompt Techniques\n\n### 1. Basic Modifications\n- Simple and direct: `\"Change the car color to red\"`\n- Maintain style: `\"Change to daytime while maintaining the same style of the painting\"`\n\n### 2. Style Transfer\n**Principles:**\n- Clearly name style: `\"Transform to Bauhaus art style\"`\n- Describe characteristics: `\"Transform to oil painting with visible brushstrokes, thick paint texture\"`\n- Preserve composition: `\"Change to Bauhaus style while maintaining the original composition\"`\n\n### 3. Character Consistency\n**Framework:**\n- Specific description: `\"The woman with short black hair\"` instead of \"she\"\n- Preserve features: `\"while maintaining the same facial features, hairstyle, and expression\"`\n- Step-by-step modifications: Change background first, then actions\n\n### 4. Text Editing\n- Use quotes: `\"Replace 'joy' with 'BFL'\"`\n- Maintain format: `\"Replace text while maintaining the same font style\"`\n\n## Common Problem Solutions\n\n### Character Changes Too Much\nāŒ Wrong: `\"Transform the person into a Viking\"`\nāœ… Correct: `\"Change the clothes to be a viking warrior while preserving facial features\"`\n\n### Composition Position Changes\nāŒ Wrong: `\"Put him on a beach\"`\nāœ… Correct: `\"Change the background to a beach while keeping the person in the exact same position, scale, and pose\"`\n\n### Style Application Inaccuracy\nāŒ Wrong: `\"Make it a sketch\"`\nāœ… Correct: `\"Convert to pencil sketch with natural graphite lines, cross-hatching, and visible paper texture\"`\n\n## Core Principles\n\n1. **Be Specific and Clear** - Use precise descriptions, avoid vague terms\n2. **Step-by-step Editing** - Break complex modifications into multiple simple steps\n3. **Explicit Preservation** - State what should remain unchanged\n4. **Verb Selection** - Use \"change\", \"replace\" rather than \"transform\"\n\n## Best Practice Templates\n\n**Object Modification:**\n`\"Change [object] to [new state], keep [content to preserve] unchanged\"`\n\n**Style Transfer:**\n`\"Transform to [specific style], while maintaining [composition/character/other] unchanged\"`\n\n**Background Replacement:**\n`\"Change the background to [new background], keep the subject in the exact same position and pose\"`\n\n**Text Editing:**\n`\"Replace '[original text]' with '[new text]', maintain the same font style\"`\n\n> **Remember:** The more specific, the better. Kontext excels at understanding detailed instructions and maintaining consistency. 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"ue_properties": { - "widget_ue_connectable": {}, - "version": "7.7", - "input_ue_unconnectable": {} - } - }, - "widgets_values": [] - }, - { - "id": 35, - "type": "FluxGuidance", - "pos": [ - 1420, - 300 - ], - "size": [ - 240, - 110 - ], - "flags": { - "collapsed": false - }, - "order": 4, - "mode": 0, - "inputs": [ - { - "localized_name": "conditioning", - "name": "conditioning", - "type": "CONDITIONING", - "link": 292 - } - ], - "outputs": [ - { - "localized_name": "CONDITIONING", - "name": "CONDITIONING", - "type": "CONDITIONING", - "slot_index": 0, - "links": [ - 57 - ] - } - ], - "properties": { - "Node name for S&R": "FluxGuidance", - "cnr_id": "comfy-core", - "ver": "0.3.38", - "ue_properties": { - "widget_ue_connectable": {}, - "version": "7.7", - "input_ue_unconnectable": {} - } - }, - "widgets_values": [ - 2.5 - ] - }, - { - "id": 37, - "type": "UNETLoader", - "pos": [ - 370, - 110 - ], - "size": [ - 340, - 110 - ], - "flags": {}, - "order": 5, - "mode": 0, - "inputs": [ - { - "localized_name": "unet_name", - "name": "unet_name", - "type": "COMBO", - "widget": { - "name": "unet_name" - }, - "link": 302 - } - ], - "outputs": [ - { - "localized_name": "MODEL", - "name": "MODEL", - "type": "MODEL", - "links": [ - 58 - ] - } - ], - "properties": { - "Node name for S&R": "UNETLoader", - "cnr_id": "comfy-core", - "ver": "0.3.38", - "models": [ - { - "name": "flux1-dev-kontext_fp8_scaled.safetensors", - "url": "https://huggingface.co/Comfy-Org/flux1-kontext-dev_ComfyUI/resolve/main/split_files/diffusion_models/flux1-dev-kontext_fp8_scaled.safetensors", - "directory": "diffusion_models" - } - ], - "ue_properties": { - "widget_ue_connectable": {}, - "version": "7.7", - "input_ue_unconnectable": {} - } - }, - "widgets_values": [ - "flux1-dev-kontext_fp8_scaled.safetensors", - "default" - ] - }, - { - "id": 177, - "type": "ReferenceLatent", - "pos": [ - 1420, - 160 - ], - "size": [ - 240, - 100 - ], - "flags": {}, - "order": 12, - "mode": 0, - "inputs": [ - { - "localized_name": "conditioning", - "name": "conditioning", - "type": "CONDITIONING", - "link": 294 - }, - { - "localized_name": "latent", - "name": "latent", - "shape": 7, - "type": "LATENT", - "link": 293 - } - ], - "outputs": [ - { - "localized_name": "CONDITIONING", - "name": "CONDITIONING", - "type": "CONDITIONING", - "links": [ - 292 - ] - } - ], - "properties": { - "Node name for S&R": "ReferenceLatent", - "cnr_id": "comfy-core", - "ver": "0.3.41", - "ue_properties": { - "widget_ue_connectable": {}, - "version": "7.7", - "input_ue_unconnectable": {} - } - }, - "widgets_values": [] - }, - { - "id": 146, - "type": "ImageStitch", - "pos": [ - 360, - 770 - ], - "size": [ - 270, - 160 - ], - "flags": {}, - "order": 11, - "mode": 0, - "inputs": [ - { - "localized_name": "image1", - "name": "image1", - "type": "IMAGE", - "link": 297 - }, - { - "localized_name": "image2", - "name": "image2", - "shape": 7, - "type": "IMAGE", - "link": 298 - } - ], - "outputs": [ - { - "localized_name": "IMAGE", - "name": "IMAGE", - "type": "IMAGE", - "links": [ - 251 - ] - } - ], - "properties": { - "Node name for S&R": "ImageStitch", - "cnr_id": "comfy-core", - "ver": "0.3.40", - "ue_properties": { - "widget_ue_connectable": {}, - "version": "7.7", - "input_ue_unconnectable": {} - } - }, - "widgets_values": [ - "right", - true, - 0, - "white" - ] - }, - { - "id": 42, - "type": "FluxKontextImageScale", - "pos": [ - 750, - 800 - ], - "size": [ - 270, - 80 - ], - "flags": { - "collapsed": true - }, - "order": 8, - "mode": 0, - "inputs": [ - { - "localized_name": "image", - "name": "image", - "type": "IMAGE", - "link": 251 - } - ], - "outputs": [ - { - "localized_name": "IMAGE", - "name": "IMAGE", - "type": "IMAGE", - "links": [ - 222 - ] - } - ], - "properties": { - "Node name for S&R": "FluxKontextImageScale", - "cnr_id": "comfy-core", - "ver": "0.3.38", - "ue_properties": { - "widget_ue_connectable": {}, - "version": "7.7", - "input_ue_unconnectable": {} - } - }, - "widgets_values": [] - }, - { - "id": 178, - "type": "MarkdownNote", - "pos": [ - 1350, - -210 - ], - "size": [ - 330, - 260 - ], - "flags": {}, - "order": 0, - "mode": 0, - "inputs": [], - "outputs": [], - "title": "About multiple images reference", - "properties": { - "ue_properties": { - "widget_ue_connectable": {}, - "version": "7.7", - "input_ue_unconnectable": {} - } - }, - "widgets_values": [ - "[English] In addition to using **Image Stitch** to combine two images at a time, you can also encode individual images, then concatenate multiple latent conditions using the **ReferenceLatent** node, thus achieving the purpose of referencing multiple images. You can use the **EmptySD3LatentImage** node on the right to connect to **KSamper** and customize the size of the **latent_image**." - ], - "color": "#222", - "bgcolor": "#000" - }, - { - "id": 31, - "type": "KSampler", - "pos": [ - 1700, - 160 - ], - "size": [ - 330, - 560 - ], - "flags": {}, - "order": 3, - "mode": 0, - "inputs": [ - { - "localized_name": "model", - "name": "model", - "type": "MODEL", - "link": 58 - }, - { - "localized_name": "positive", - "name": "positive", - "type": "CONDITIONING", - "link": 57 - }, - { - "localized_name": "negative", - "name": "negative", - "type": "CONDITIONING", - "link": 238 - }, - { - "localized_name": "latent_image", - "name": "latent_image", - "type": "LATENT", - "link": 291 - } - ], - "outputs": [ - { - "localized_name": "LATENT", - "name": "LATENT", - "type": "LATENT", - "slot_index": 0, - "links": [ - 52 - ] - } - ], - "properties": { - "Node name for S&R": "KSampler", - "cnr_id": "comfy-core", - "ver": "0.3.38", - "ue_properties": { - "widget_ue_connectable": {}, - "version": "7.7", - "input_ue_unconnectable": {} - } - }, - "widgets_values": [ - 169405236028824, - "randomize", - 20, - 1, - "euler", - "simple", - 1 - ] - }, - { - "id": 6, - "type": "CLIPTextEncode", - "pos": [ - 780, - 120 - ], - "size": [ - 520, - 440 - ], - "flags": {}, - "order": 1, - "mode": 0, - "inputs": [ - { - "localized_name": "clip", - "name": "clip", - "type": "CLIP", - "link": 59 - }, - { - "localized_name": "text", - "name": "text", - "type": "STRING", - "widget": { - "name": "text" - }, - "link": 300 - } - ], - "outputs": [ - { - "localized_name": "CONDITIONING", - "name": "CONDITIONING", - "type": "CONDITIONING", - "slot_index": 0, - "links": [ - 237, - 294 - ] - } - ], - "title": "CLIP Text Encode (Positive Prompt)", - "properties": { - "Node name for S&R": "CLIPTextEncode", - "cnr_id": "comfy-core", - "ver": "0.3.38", - "ue_properties": { - "widget_ue_connectable": {}, - "version": "7.7", - "input_ue_unconnectable": {} - } - }, - "widgets_values": [ - "Using this elegant style, create a portrait of a swan wearing a pearl tiara and lace collar, maintaining the same refined quality and soft color tones." - ], - "color": "#232", - "bgcolor": "#353" - } - ], - "groups": [ - { - "id": 1, - "title": "Step 1- Load models", - "bounding": [ - 360, - 40, - 370, - 690 - ], - "color": "#3f789e", - "font_size": 24, - "flags": {} - }, - { - "id": 5, - "title": "Step 3 - Prompt", - "bounding": [ - 760, - 40, - 570, - 690 - ], - "color": "#3f789e", - "font_size": 24, - "flags": {} - } - ], - "links": [ - { - "id": 237, - "origin_id": 6, - "origin_slot": 0, - "target_id": 135, - "target_slot": 0, - "type": "CONDITIONING" - }, - { - "id": 52, - "origin_id": 31, - "origin_slot": 0, - "target_id": 8, - "target_slot": 0, - "type": "LATENT" - }, - { - "id": 61, - "origin_id": 39, - "origin_slot": 0, - "target_id": 8, - "target_slot": 1, - "type": "VAE" - }, - { - "id": 222, - "origin_id": 42, - "origin_slot": 0, - "target_id": 124, - "target_slot": 0, - "type": "IMAGE" - }, - { - "id": 223, - "origin_id": 39, - "origin_slot": 0, - "target_id": 124, - "target_slot": 1, - "type": "VAE" - }, - { - "id": 292, - "origin_id": 177, - "origin_slot": 0, - "target_id": 35, - "target_slot": 0, - "type": "CONDITIONING" - }, - { - "id": 294, - "origin_id": 6, - "origin_slot": 0, - "target_id": 177, - "target_slot": 0, - "type": "CONDITIONING" - }, - { - "id": 293, - "origin_id": 124, - "origin_slot": 0, - "target_id": 177, - "target_slot": 1, - "type": "LATENT" - }, - { - "id": 59, - "origin_id": 38, - "origin_slot": 0, - "target_id": 6, - "target_slot": 0, - "type": "CLIP" - }, - { - "id": 58, - "origin_id": 37, - "origin_slot": 0, - "target_id": 31, - "target_slot": 0, - "type": "MODEL" - }, - { - "id": 57, - "origin_id": 35, - "origin_slot": 0, - "target_id": 31, - "target_slot": 1, - "type": "CONDITIONING" - }, - { - "id": 238, - "origin_id": 135, - "origin_slot": 0, - "target_id": 31, - "target_slot": 2, - "type": "CONDITIONING" - }, - { - "id": 291, - "origin_id": 124, - "origin_slot": 0, - "target_id": 31, - "target_slot": 3, - "type": "LATENT" - }, - { - "id": 251, - "origin_id": 146, - "origin_slot": 0, - "target_id": 42, - "target_slot": 0, - "type": "IMAGE" - }, - { - "id": 297, - "origin_id": -10, - "origin_slot": 0, - "target_id": 146, - "target_slot": 0, - "type": "IMAGE" - }, - { - "id": 298, - "origin_id": -10, - "origin_slot": 1, - "target_id": 146, - "target_slot": 1, - "type": "IMAGE" - }, - { - "id": 240, - "origin_id": 8, - "origin_slot": 0, - "target_id": -20, - "target_slot": 0, - "type": "IMAGE" - }, - { - "id": 300, - "origin_id": -10, - "origin_slot": 2, - "target_id": 6, - "target_slot": 1, - "type": "STRING" - }, - { - "id": 302, - "origin_id": -10, - "origin_slot": 3, - "target_id": 37, - "target_slot": 0, - "type": "COMBO" - }, - { - "id": 303, - "origin_id": -10, - "origin_slot": 4, - "target_id": 38, - "target_slot": 0, - "type": "COMBO" - }, - { - "id": 304, - "origin_id": -10, - "origin_slot": 5, - "target_id": 38, - "target_slot": 1, - "type": "COMBO" - }, - { - "id": 305, - "origin_id": -10, - "origin_slot": 6, - "target_id": 39, - "target_slot": 0, - "type": "COMBO" - } - ], - "extra": { - "workflowRendererVersion": "LG", - "ue_links": [] - } - } - ] - }, - "config": {}, - "extra": { - "ds": { - "scale": 0.6830134553650705, - "offset": [ - 925.8941368588916, - 323.577244337729 - ] - }, - "frontendVersion": "1.41.13", - "workflowRendererVersion": "LG", - "groupNodes": {}, - "VHS_latentpreview": false, - "VHS_latentpreviewrate": 0, - "VHS_MetadataImage": true, - "VHS_KeepIntermediate": true, - "ue_links": [] - }, - "version": 0.4 -} diff --git a/src/renderer/extensions/firstRunTour/__fixtures__/templates/image_krea2_turbo_t2i.json b/src/renderer/extensions/firstRunTour/__fixtures__/templates/image_krea2_turbo_t2i.json deleted file mode 100644 index 66b81368f3..0000000000 --- a/src/renderer/extensions/firstRunTour/__fixtures__/templates/image_krea2_turbo_t2i.json +++ /dev/null @@ -1,2066 +0,0 @@ -{ - "id": "08988737-a544-4ab1-99fb-22d67b7c36e3", - "revision": 0, - "last_node_id": 50, - "last_link_id": 72, - "nodes": [ - { - "id": 29, - "type": "SaveImage", - "pos": [ - 480, - -110 - ], - "size": [ - 880, - 1020 - ], - "flags": {}, - "order": 5, - "mode": 0, - "inputs": [ - { - "name": "images", - "type": "IMAGE", - "link": 44 - } - ], - "outputs": [ - { - "name": "images", - "type": "IMAGE", - "links": null - } - ], - "properties": { - "Node name for S&R": "SaveImage", - "cnr_id": "comfy-core", - "ver": "0.25.0" - }, - "widgets_values": [ - "Krea2_turbo" - ] - }, - { - "id": 30, - "type": "b0e5ca93-2731-42b9-8e0a-d28ea851ff81", - "pos": [ - -140, - -110 - ], - "size": [ - 560, - 1010 - ], - "flags": {}, - "order": 4, - "mode": 0, - "inputs": [ - { - "label": "prompt_enhance", - "name": "value_1", - "type": "BOOLEAN", - "widget": { - "name": "value_1" - }, - "link": null - }, - { - "label": "LLM_max_token", - "name": "max_length", - "type": "INT", - "widget": { - "name": "max_length" - }, - "link": null - }, - { - "name": "width", - "type": "INT", - "widget": { - "name": "width" - }, - "link": 69 - }, - { - "name": "height", - "type": "INT", - "widget": { - "name": "height" - }, - "link": 71 - }, - { - "label": "enable_lora?", - "name": "value_2", - "type": "BOOLEAN", - "widget": { - "name": "value_2" - }, - "link": null - }, - { - "label": "lora_strength", - "name": "strength_model", - "type": "FLOAT", - "widget": { - "name": "strength_model" - }, - "link": null - }, - { - "label": "lora_trigger_word", - "name": "string_b", - "type": "STRING", - "widget": { - "name": "string_b" - }, - "link": null - } - ], - "outputs": [ - { - "name": "IMAGE", - "type": "IMAGE", - "links": [ - 44 - ] - } - ], - "properties": { - "proxyWidgets": [ - [ - "19", - "value" - ], - [ - "24", - "value" - ], - [ - "16", - "max_length" - ], - [ - "5", - "width" - ], - [ - "5", - "height" - ], - [ - "3", - "seed" - ], - [ - "23", - "value" - ], - [ - "15", - "lora_name" - ], - [ - "15", - "strength_model" - ], - [ - "27", - "string_b" - ], - [ - "10", - "unet_name" - ], - [ - "11", - "clip_name" - ], - [ - "12", - "vae_name" - ] - ], - "cnr_id": "comfy-core", - "ver": "0.25.0", - "previewExposures": [ - { - "name": "$$canvas-image-preview", - "sourceNodeId": "3", - "sourcePreviewName": "$$canvas-image-preview" - } - ] - }, - "widgets_values": [] - }, - { - "id": 47, - "type": "MarkdownNote", - "pos": [ - -1200, - 970 - ], - "size": [ - 690, - 510 - ], - "flags": {}, - "order": 0, - "mode": 0, - "inputs": [], - "outputs": [], - "title": "LoRA Trigger Words and Settings", - "properties": {}, - "widgets_values": [ - "Download the style LoRAs used in this workflow from [Comfy-Org/Krea-2/loras](https://huggingface.co/Comfy-Org/Krea-2/tree/main/loras). Place the `.safetensors` files in `ComfyUI/models/loras/`.\n\n| LoRA | Trigger Words | Recommended Strength |\n|------------------------|--------------------------------------|-------|\n| `krea2_darkbrush` | `monochrome ink wash style` | `1.0` |\n| `krea2_dotmatrix` | `monochrome stippling style` | `1.0` |\n| `krea2_kidsdrawing` | `naive expressive sketch style` | `1.0` |\n| `krea2_neondrip` | `textured abstract style` | `1.0` |\n| `krea2_rainywindow` | `rainy window style` | `1.0` |\n| `krea2_retroanime` | `purple retro anime style` | `1.0` |\n| `krea2_softwatercolor` | `art deco watercolor style` | `1.0` |\n| `krea2_sunsetblur` | `ethereal motion blur style` | `1.0` |\n| `krea2_vintagetarot` | `vintage tarot style` | `1.0` |" - ], - "color": "#222", - "bgcolor": "#000" - }, - { - "id": 48, - "type": "MarkdownNote", - "pos": [ - -1940, - -90 - ], - "size": [ - 700, - 990 - ], - "flags": {}, - "order": 1, - "mode": 0, - "inputs": [], - "outputs": [], - "title": "Model Links", - "properties": {}, - "widgets_values": [ - "Guide: [Subgraph](https://docs.comfy.org/interface/features/subgraph)\n\n## Model Links (for Local Users)\n\nFor BF16 and NVFP4 variants, see [Comfy-Org/Krea-2](https://huggingface.co/Comfy-Org/Krea-2)\n\n**diffusion_models**\n\n- [krea2_turbo_fp8_scaled.safetensors](https://huggingface.co/Comfy-Org/Krea-2/resolve/main/diffusion_models/krea2_turbo_fp8_scaled.safetensors)\n\n**text_encoders**\n\n- [qwen3vl_4b_fp8_scaled.safetensors](https://huggingface.co/Comfy-Org/Krea-2/resolve/main/text_encoders/qwen3vl_4b_fp8_scaled.safetensors)\n\n**vae**\n\n- [qwen_image_vae.safetensors](https://huggingface.co/Comfy-Org/Krea-2/resolve/main/vae/qwen_image_vae.safetensors)\n\n**loras**\n\n- [krea2_darkbrush.safetensors](https://huggingface.co/Comfy-Org/Krea-2/resolve/main/loras/krea2_darkbrush.safetensors)\n\n\n## Model Storage Location\n\n```\nšŸ“‚ ComfyUI/\nā”œā”€ā”€ šŸ“‚ models/\nā”‚ ā”œā”€ā”€ šŸ“‚ diffusion_models/\nā”‚ ā”‚ ā””ā”€ā”€ krea2_turbo_fp8_scaled.safetensors\nā”‚ ā”œā”€ā”€ šŸ“‚ text_encoders/\nā”‚ ā”‚ ā””ā”€ā”€ qwen3vl_4b_fp8_scaled.safetensors\nā”‚ ā”œā”€ā”€ šŸ“‚ vae/\nā”‚ ā”‚ ā””ā”€ā”€ qwen_image_vae.safetensors\nā”‚ ā””ā”€ā”€ šŸ“‚ loras/\nā”‚ ā””ā”€ā”€ krea2_darkbrush.safetensors\n```\n\n## Report Issue\n\nNote: Please update ComfyUI first ([guide](https://docs.comfy.org/installation/update_comfyui)) and prepare required models. Desktop/Cloud updates follow stable releases, so some nightly-supported models may not be available yet.\n\n- Cannot run / runtime errors: [ComfyUI/issues](https://github.com/comfyanonymous/ComfyUI/issues)\n- UI / frontend issues: [ComfyUI_frontend/issues](https://github.com/Comfy-Org/ComfyUI_frontend/issues)\n- Workflow issues: [workflow_templates/issues](https://github.com/Comfy-Org/workflow_templates/issues)\n" - ], - "color": "#222", - "bgcolor": "#000" - }, - { - "id": 50, - "type": "MarkdownNote", - "pos": [ - -1200, - -90 - ], - "size": [ - 700, - 990 - ], - "flags": {}, - "order": 2, - "mode": 0, - "inputs": [], - "outputs": [], - "title": "Note: Krea-2", - "properties": {}, - "widgets_values": [ - "Guide: [krea-2](https://docs.comfy.org/tutorials/image/krea/krea-2)\n\nThis workflow generates images with **Krea-2 Turbo**, a fast distilled text-to-image model. The workflow is organized into a few parts: each handles a different step so you can generate quickly without digging through every node.\n\n## Text to Image (Krea-2 Turbo) Subgraph\n\nDouble-click this node to open the full pipeline. Inside, the canvas is grouped into several areas:\n\n**Models**: Loads the diffusion model, text encoder, VAE, and optional style LoRA (`LoraLoaderModelOnly`).\n\n**Prompt**: Enter your image description in **Text String (User Prompt)**.\n\n**Prompt Enhancement**: Expands your prompt before generation. Enabled by default (`prompt_enhance`). You can turn it off to use your prompt as-is, or replace the built-in module with **OpenAI** or **Gemini** API nodes.\n\n**Feature Switch**: Quick toggles on the left side of the subgraph:\n- `prompt_enhance`: enable or disable prompt expansion\n- `enable_lora?`: enable or disable the style LoRA\n\n**Image Generation**: Handles latent sizing, sampling (8 steps), and VAE decode to produce the final image.\n\nWhen using a LoRA, set `enable_lora?` to true, select the matching file in **LoraLoaderModelOnly**, and adjust `lora_strength` as needed.\n\n## LoRA & Trigger Word (CustomCombo)\n\nOn the main canvas, the **CustomCombo** node is where you choose which style LoRA you are using (e.g. `krea2_coolblue`, `krea2_darkbrush`). The workflow uses your selection to automatically append the correct **trigger word** to your prompt.\n\n- Download LoRA files from [Comfy-Org/Krea-2/loras](https://huggingface.co/Comfy-Org/Krea-2/tree/main/loras) and place them in `ComfyUI/models/loras/`\n- Select the LoRA name that matches the file loaded inside the subgraph\n- The trigger word is applied for you: no need to type it manually\n- For trigger words and recommended strength values, see the **LoRA Trigger Words and Settings** note beside this workflow\n" - ], - "color": "#222", - "bgcolor": "#000" - }, - { - "id": 49, - "type": "ResolutionSelector", - "pos": [ - -470, - 270 - ], - "size": [ - 270, - 190 - ], - "flags": {}, - "order": 3, - "mode": 0, - "inputs": [], - "outputs": [ - { - "name": "width", - "type": "INT", - "links": [ - 69 - ] - }, - { - "name": "height", - "type": "INT", - "links": [ - 71 - ] - } - ], - "properties": { - "Node name for S&R": "ResolutionSelector", - "cnr_id": "comfy-core", - "ver": "0.25.0" - }, - "widgets_values": [ - "1:1 (Square)", - 1, - 8 - ] - } - ], - "links": [ - [ - 44, - 30, - 0, - 29, - 0, - "IMAGE" - ], - [ - 69, - 49, - 0, - 30, - 2, - "INT" - ], - [ - 71, - 49, - 1, - 30, - 3, - "INT" - ] - ], - "groups": [], - "definitions": { - "subgraphs": [ - { - "id": "b0e5ca93-2731-42b9-8e0a-d28ea851ff81", - "version": 1, - "state": { - "lastGroupId": 10, - "lastNodeId": 50, - "lastLinkId": 72, - "lastRerouteId": 0 - }, - "revision": 0, - "config": {}, - "name": "Text to Image (Krea-2 Turbo)", - "inputNode": { - "id": -10, - "bounding": [ - -1720, - 410, - 146.466796875, - 308 - ] - }, - "outputNode": { - "id": -20, - "bounding": [ - 1560, - 496, - 128, - 68 - ] - }, - "inputs": [ - { - "id": "b0f5c754-5322-440c-8c1c-ba732e910d33", - "name": "value", - "type": "STRING", - "linkIds": [ - 45 - ], - "pos": [ - -1597.533203125, - 434 - ] - }, - { - "id": "47b0e74d-ef80-4423-a7a6-9bd1673092bb", - "name": "value_1", - "type": "BOOLEAN", - "linkIds": [ - 46 - ], - "label": "prompt_enhance", - "pos": [ - -1597.533203125, - 454 - ] - }, - { - "id": "5fc735ae-a50b-4363-bff9-850030ad5dd5", - "name": "max_length", - "type": "INT", - "linkIds": [ - 49 - ], - "label": "LLM_max_token", - "pos": [ - -1597.533203125, - 474 - ] - }, - { - "id": "2d1c0f16-25d7-46d1-b774-e6b5519810ae", - "name": "width", - "type": "INT", - "linkIds": [ - 50 - ], - "pos": [ - -1597.533203125, - 494 - ] - }, - { - "id": "8bb87b44-fecc-46d7-bdae-642002250a43", - "name": "height", - "type": "INT", - "linkIds": [ - 51 - ], - "pos": [ - -1597.533203125, - 514 - ] - }, - { - "id": "75652c4f-cde2-4ad7-b322-73d47b533ef8", - "name": "seed", - "type": "INT", - "linkIds": [ - 56 - ], - "pos": [ - -1597.533203125, - 534 - ] - }, - { - "id": "b0ca5f55-a223-40de-9e37-aaf2cf0904dd", - "name": "value_2", - "type": "BOOLEAN", - "linkIds": [ - 57 - ], - "label": "enable_lora?", - "pos": [ - -1597.533203125, - 554 - ] - }, - { - "id": "eb2e846b-2e6c-49a2-bc56-9c772c8a1862", - "name": "lora_name", - "type": "COMBO", - "linkIds": [ - 58 - ], - "pos": [ - -1597.533203125, - 574 - ] - }, - { - "id": "d2693bbb-bb95-4fb1-9a3d-27a1bb0b664b", - "name": "strength_model", - "type": "FLOAT", - "linkIds": [ - 59 - ], - "label": "lora_strength", - "pos": [ - -1597.533203125, - 594 - ] - }, - { - "id": "e2031135-b490-4909-b1ec-6b00aecf819e", - "name": "string_b", - "type": "STRING", - "linkIds": [ - 60 - ], - "label": "lora_trigger_word", - "pos": [ - -1597.533203125, - 614 - ] - }, - { - "id": "14e2eb6a-5fa1-40c9-81d1-a928360fcd80", - "name": "unet_name", - "type": "COMBO", - "linkIds": [ - 61 - ], - "pos": [ - -1597.533203125, - 634 - ] - }, - { - "id": "e27ba0c5-697f-44f4-b475-c2dcfa594724", - "name": "clip_name", - "type": "COMBO", - "linkIds": [ - 62 - ], - "pos": [ - -1597.533203125, - 654 - ] - }, - { - "id": "75c25d8e-b881-46e4-aca7-d2ada9e147d0", - "name": "vae_name", - "type": "COMBO", - "linkIds": [ - 63 - ], - "pos": [ - -1597.533203125, - 674 - ] - } - ], - "outputs": [ - { - "id": "e4073813-752d-4584-96b5-6e42eac355dd", - "name": "IMAGE", - "type": "IMAGE", - "linkIds": [ - 43 - ], - "localized_name": "IMAGE", - "pos": [ - 1584, - 520 - ] - } - ], - "widgets": [], - "nodes": [ - { - "id": 6, - "type": "CLIPTextEncode", - "pos": [ - 100, - -250 - ], - "size": [ - 480, - 420 - ], - "flags": {}, - "order": 3, - "mode": 0, - "inputs": [ - { - "localized_name": "clip", - "name": "clip", - "type": "CLIP", - "link": 10 - }, - { - "localized_name": "text", - "name": "text", - "type": "STRING", - "widget": { - "name": "text" - }, - "link": 72 - } - ], - "outputs": [ - { - "localized_name": "CONDITIONING", - "name": "CONDITIONING", - "type": "CONDITIONING", - "slot_index": 0, - "links": [ - 4, - 13 - ] - } - ], - "properties": { - "Node name for S&R": "CLIPTextEncode", - "cnr_id": "comfy-core", - "ver": "0.25.0" - }, - "widgets_values": [ - "A high-resolution, surreal digital illustration showing a human hand holding a martini glass. The image is overlaid with whimsical, expressive ink-style doodles, including a cartoon figure inside the glass, a drawn citrus wedge on the rim, and various abstract sketches and faces surrounding the glass against a clean, white background. The style seamlessly blends a realistic, lit photograph with loose, hand-drawn marker artistry, creating a playful and artistic juxtaposition." - ], - "color": "#232", - "bgcolor": "#353" - }, - { - "id": 5, - "type": "EmptyLatentImage", - "pos": [ - 170, - 350 - ], - "size": [ - 320, - 170 - ], - "flags": {}, - "order": 2, - "mode": 0, - "inputs": [ - { - "localized_name": "width", - "name": "width", - "type": "INT", - "widget": { - "name": "width" - }, - "link": 50 - }, - { - "localized_name": "height", - "name": "height", - "type": "INT", - "widget": { - "name": "height" - }, - "link": 51 - } - ], - "outputs": [ - { - "localized_name": "LATENT", - "name": "LATENT", - "type": "LATENT", - "slot_index": 0, - "links": [ - 2 - ] - } - ], - "properties": { - "Node name for S&R": "EmptyLatentImage", - "cnr_id": "comfy-core", - "ver": "0.25.0" - }, - "widgets_values": [ - 1024, - 1024, - 1 - ] - }, - { - "id": 3, - "type": "KSampler", - "pos": [ - 640, - -100 - ], - "size": [ - 320, - 590 - ], - "flags": {}, - "order": 1, - "mode": 0, - "inputs": [ - { - "localized_name": "model", - "name": "model", - "type": "MODEL", - "link": 30 - }, - { - "localized_name": "positive", - "name": "positive", - "type": "CONDITIONING", - "link": 4 - }, - { - "localized_name": "negative", - "name": "negative", - "type": "CONDITIONING", - "link": 14 - }, - { - "localized_name": "latent_image", - "name": "latent_image", - "type": "LATENT", - "link": 2 - }, - { - "localized_name": "seed", - "name": "seed", - "type": "INT", - "widget": { - "name": "seed" - }, - "link": 56 - } - ], - "outputs": [ - { - "localized_name": "LATENT", - "name": "LATENT", - "type": "LATENT", - "slot_index": 0, - "links": [ - 7 - ] - } - ], - "properties": { - "Node name for S&R": "KSampler", - "cnr_id": "comfy-core", - "ver": "0.25.0" - }, - "widgets_values": [ - 735915477938686, - "randomize", - 8, - 1, - "euler", - "simple", - 1 - ] - }, - { - "id": 8, - "type": "VAEDecode", - "pos": [ - 1010, - -270 - ], - "size": [ - 230, - 100 - ], - "flags": { - "collapsed": false - }, - "order": 4, - "mode": 0, - "inputs": [ - { - "localized_name": "samples", - "name": "samples", - "type": "LATENT", - "link": 7 - }, - { - "localized_name": "vae", - "name": "vae", - "type": "VAE", - "link": 12 - } - ], - "outputs": [ - { - "localized_name": "IMAGE", - "name": "IMAGE", - "type": "IMAGE", - "slot_index": 0, - "links": [ - 43 - ] - } - ], - "properties": { - "Node name for S&R": "VAEDecode", - "cnr_id": "comfy-core", - "ver": "0.25.0" - }, - "widgets_values": [] - }, - { - "id": 10, - "type": "UNETLoader", - "pos": [ - -410, - -240 - ], - "size": [ - 450, - 140 - ], - "flags": {}, - "order": 5, - "mode": 0, - "inputs": [ - { - "localized_name": "unet_name", - "name": "unet_name", - "type": "COMBO", - "widget": { - "name": "unet_name" - }, - "link": 61 - } - ], - "outputs": [ - { - "localized_name": "MODEL", - "name": "MODEL", - "type": "MODEL", - "links": [ - 16, - 28 - ] - } - ], - "properties": { - "Node name for S&R": "UNETLoader", - "cnr_id": "comfy-core", - "ver": "0.25.0", - "models": [ - { - "name": "krea2_turbo_fp8_scaled.safetensors", - "url": "https://huggingface.co/Comfy-Org/Krea-2/resolve/main/diffusion_models/krea2_turbo_fp8_scaled.safetensors", - "directory": "diffusion_models" - } - ] - }, - "widgets_values": [ - "krea2_turbo_fp8_scaled.safetensors", - "default" - ] - }, - { - "id": 11, - "type": "CLIPLoader", - "pos": [ - -410, - 150 - ], - "size": [ - 450, - 170 - ], - "flags": {}, - "order": 6, - "mode": 0, - "inputs": [ - { - "localized_name": "clip_name", - "name": "clip_name", - "type": "COMBO", - "widget": { - "name": "clip_name" - }, - "link": 62 - } - ], - "outputs": [ - { - "localized_name": "CLIP", - "name": "CLIP", - "type": "CLIP", - "links": [ - 10, - 18 - ] - } - ], - "properties": { - "Node name for S&R": "CLIPLoader", - "cnr_id": "comfy-core", - "ver": "0.25.0", - "models": [ - { - "name": "qwen3vl_4b_fp8_scaled.safetensors", - "url": "https://huggingface.co/Comfy-Org/Krea-2/resolve/main/text_encoders/qwen3vl_4b_fp8_scaled.safetensors", - "directory": "text_encoders" - } - ] - }, - "widgets_values": [ - "qwen3vl_4b_fp8_scaled.safetensors", - "krea2", - "default" - ] - }, - { - "id": 12, - "type": "VAELoader", - "pos": [ - -410, - 390 - ], - "size": [ - 450, - 120 - ], - "flags": {}, - "order": 7, - "mode": 0, - "inputs": [ - { - "localized_name": "vae_name", - "name": "vae_name", - "type": "COMBO", - "widget": { - "name": "vae_name" - }, - "link": 63 - } - ], - "outputs": [ - { - "localized_name": "VAE", - "name": "VAE", - "type": "VAE", - "links": [ - 12 - ] - } - ], - "properties": { - "Node name for S&R": "VAELoader", - "cnr_id": "comfy-core", - "ver": "0.25.0", - "models": [ - { - "name": "qwen_image_vae.safetensors", - "url": "https://huggingface.co/Comfy-Org/Krea-2/resolve/main/vae/qwen_image_vae.safetensors", - "directory": "vae" - } - ] - }, - "widgets_values": [ - "qwen_image_vae.safetensors" - ] - }, - { - "id": 13, - "type": "ConditioningZeroOut", - "pos": [ - 350, - 220 - ], - "size": [ - 225, - 8 - ], - "flags": { - "collapsed": true - }, - "order": 8, - "mode": 0, - "inputs": [ - { - "localized_name": "conditioning", - "name": "conditioning", - "type": "CONDITIONING", - "link": 13 - } - ], - "outputs": [ - { - "localized_name": "CONDITIONING", - "name": "CONDITIONING", - "type": "CONDITIONING", - "links": [ - 14 - ] - } - ], - "properties": { - "Node name for S&R": "ConditioningZeroOut", - "cnr_id": "comfy-core", - "ver": "0.25.0" - }, - "widgets_values": [] - }, - { - "id": 15, - "type": "LoraLoaderModelOnly", - "pos": [ - -410, - -50 - ], - "size": [ - 450, - 170 - ], - "flags": {}, - "order": 9, - "mode": 0, - "inputs": [ - { - "localized_name": "model", - "name": "model", - "type": "MODEL", - "link": 16 - }, - { - "localized_name": "lora_name", - "name": "lora_name", - "type": "COMBO", - "widget": { - "name": "lora_name" - }, - "link": 58 - }, - { - "localized_name": "strength_model", - "name": "strength_model", - "type": "FLOAT", - "widget": { - "name": "strength_model" - }, - "link": 59 - } - ], - "outputs": [ - { - "localized_name": "MODEL", - "name": "MODEL", - "type": "MODEL", - "links": [ - 29 - ] - } - ], - "properties": { - "Node name for S&R": "LoraLoaderModelOnly", - "cnr_id": "comfy-core", - "ver": "0.25.0", - "models": [ - { - "name": "krea2_darkbrush.safetensors", - "url": "https://huggingface.co/Comfy-Org/Krea-2/resolve/main/loras/krea2_darkbrush.safetensors", - "directory": "loras" - } - ] - }, - "widgets_values": [ - "krea2_darkbrush.safetensors", - 0.8 - ] - }, - { - "id": 16, - "type": "TextGenerate", - "pos": [ - 60, - 650 - ], - "size": [ - 400, - 556 - ], - "flags": {}, - "order": 10, - "mode": 0, - "inputs": [ - { - "localized_name": "clip", - "name": "clip", - "type": "CLIP", - "link": 18 - }, - { - "localized_name": "image", - "name": "image", - "shape": 7, - "type": "IMAGE", - "link": null - }, - { - "localized_name": "video", - "name": "video", - "shape": 7, - "type": "IMAGE", - "link": null - }, - { - "localized_name": "audio", - "name": "audio", - "shape": 7, - "type": "AUDIO", - "link": null - }, - { - "localized_name": "prompt", - "name": "prompt", - "type": "STRING", - "widget": { - "name": "prompt" - }, - "link": 19 - }, - { - "localized_name": "max_length", - "name": "max_length", - "type": "INT", - "widget": { - "name": "max_length" - }, - "link": 49 - } - ], - "outputs": [ - { - "localized_name": "generated_text", - "name": "generated_text", - "type": "STRING", - "links": [ - 33 - ] - } - ], - "properties": { - "Node name for S&R": "TextGenerate", - "cnr_id": "comfy-core", - "ver": "0.25.0" - }, - "widgets_values": [ - "", - 512, - "on", - 0.7, - 64, - 0.95, - 0.05, - 1.05, - 0, - 0, - false, - true - ] - }, - { - "id": 17, - "type": "StringConcatenate", - "pos": [ - -210, - 1310 - ], - "size": [ - 225, - 8 - ], - "flags": { - "collapsed": true - }, - "order": 11, - "mode": 0, - "inputs": [ - { - "localized_name": "string_a", - "name": "string_a", - "type": "STRING", - "widget": { - "name": "string_a" - }, - "link": 21 - }, - { - "localized_name": "string_b", - "name": "string_b", - "type": "STRING", - "widget": { - "name": "string_b" - }, - "link": 22 - } - ], - "outputs": [ - { - "localized_name": "STRING", - "name": "STRING", - "type": "STRING", - "links": [ - 19 - ] - } - ], - "properties": { - "Node name for S&R": "StringConcatenate", - "cnr_id": "comfy-core", - "ver": "0.25.0" - }, - "widgets_values": [ - "", - "", - "" - ] - }, - { - "id": 18, - "type": "PrimitiveStringMultiline", - "pos": [ - -430, - 650 - ], - "size": [ - 460, - 610 - ], - "flags": {}, - "order": 0, - "mode": 0, - "inputs": [], - "outputs": [ - { - "localized_name": "STRING", - "name": "STRING", - "type": "STRING", - "links": [ - 21 - ] - } - ], - "title": "Text String (System Prompt)", - "properties": { - "Node name for S&R": "PrimitiveStringMultiline", - "cnr_id": "comfy-core", - "ver": "0.25.0" - }, - "widgets_values": [ - "You are an expert prompt engineer for text-to-image models. Your task is to expand the user's prompt into a highly effective image-generation prompt.\n\nThink step by step about the request before writing the answer:\n- What is the subject and mood?\n- What visual styles, mediums, and lighting options would fit? Consider two or three alternatives and pick the one that best serves the caption.\n- What composition, framing, and grounded details will help the text-to-image model?\n\nThen output a single expanded prompt paragraph.\n\nFollow these rules strictly:\n1. **Faithfulness First:** Preserve all original subjects, actions, colors, and spatial relationships. Do not add new objects, props, characters, or animals unless the user clearly implies them.\n2. **Practical T2I Structure:** Write a prompt that a text-to-image model can parse cleanly. Group subjects with their own attributes and actions. Use grounded phrasing for poses, interactions, and spatial layout.\n3. **Style Planning Stays Internal:** Use your internal reasoning to choose style, medium, framing, and lighting. Do not emit planning tags or wrappers in the visible answer body.\n4. **Text Rendering:** If the user requests visible text, quotes, labels, or typography, specify the exact text clearly and wrap requested words in quotes.\n5. **Avoid Over-Specification:** Do not invent highly specific clothing, colors, materials, or scene details unless the input supports them.\n6. **Structure:** Write one cohesive paragraph after the thinking block. No bullets, JSON, or markdown.\n7. **Respect Existing Detail:** If the user's prompt is already detailed, lightly polish and finalize rather than heavily expanding ā€” preserve their phrasing and direction.\n8. **Respect the Human Form:** Treat depictions of people with dignity. Assume clothing covers genitals and intimate anatomy.\n9. **Preserve User Medium:** When the user explicitly requests a medium (e.g. \"photo of\", \"photograph of\", \"illustration of\", \"painting of\", \"sketch of\", \"3D render of\"), honor it. Do not pivot to a different medium to avoid difficulty ā€” match the user's stated intent.\n\nUser's Input:\n\n" - ] - }, - { - "id": 19, - "type": "PrimitiveStringMultiline", - "pos": [ - -1070, - -290 - ], - "size": [ - 570, - 800 - ], - "flags": {}, - "order": 12, - "mode": 0, - "inputs": [ - { - "localized_name": "value", - "name": "value", - "type": "STRING", - "widget": { - "name": "value" - }, - "link": 45 - } - ], - "outputs": [ - { - "localized_name": "STRING", - "name": "STRING", - "type": "STRING", - "links": [ - 22, - 34 - ] - } - ], - "title": "Text String (User Prompt)", - "properties": { - "Node name for S&R": "PrimitiveStringMultiline", - "cnr_id": "comfy-core", - "ver": "0.25.0" - }, - "widgets_values": [ - "A high-resolution, surreal digital illustration showing a human hand holding a martini glass. The image is overlaid with whimsical, expressive ink-style doodles, including a cartoon figure inside the glass, a drawn citrus wedge on the rim, and various abstract sketches and faces surrounding the glass against a clean, white background. The style seamlessly blends a realistic, lit photograph with loose, hand-drawn marker artistry, creating a playful and artistic juxtaposition." - ], - "color": "#322", - "bgcolor": "#533" - }, - { - "id": 20, - "type": "PreviewAny", - "pos": [ - 500, - 660 - ], - "size": [ - 470, - 550 - ], - "flags": { - "collapsed": false - }, - "order": 13, - "mode": 0, - "inputs": [ - { - "localized_name": "source", - "name": "source", - "type": "*", - "link": 27 - } - ], - "outputs": [ - { - "localized_name": "STRING", - "name": "STRING", - "type": "STRING", - "links": [ - 37, - 41 - ] - } - ], - "properties": { - "Node name for S&R": "PreviewAny", - "cnr_id": "comfy-core", - "ver": "0.25.0" - }, - "widgets_values": [ - null, - null, - null - ] - }, - { - "id": 21, - "type": "ComfySwitchNode", - "pos": [ - 170, - 1270 - ], - "size": [ - 270, - 130 - ], - "flags": {}, - "order": 14, - "mode": 0, - "inputs": [ - { - "localized_name": "on_false", - "name": "on_false", - "type": "STRING", - "link": 34 - 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"id": "9ae6082b-c7f4-433c-9971-7a8f65a3ea65", - "revision": 0, - "last_node_id": 61, - "last_link_id": 75, - "nodes": [ - { - "id": 35, - "type": "MarkdownNote", - "pos": [ - -420.00005528861476, - 199.99998755061938 - ], - "size": [ - 510, - 771.953125 - ], - "flags": { - "collapsed": false - }, - "order": 0, - "mode": 0, - "inputs": [], - "outputs": [], - "title": "Model link", - "properties": {}, - "widgets_values": [ - "## Report workflow issue\n\nIf you found any issues when running this workflow, [report template issue here](https://github.com/Comfy-Org/workflow_templates/issues)\n\n\n## Model links\n\n**text_encoders**\n\n- [qwen_3_4b.safetensors](https://huggingface.co/Comfy-Org/z_image_turbo/resolve/main/split_files/text_encoders/qwen_3_4b.safetensors)\n\n**diffusion_models**\n\n- [z_image_turbo_bf16.safetensors](https://huggingface.co/Comfy-Org/z_image_turbo/resolve/main/split_files/diffusion_models/z_image_turbo_bf16.safetensors)\n\n**vae**\n\n- [ae.safetensors](https://huggingface.co/Comfy-Org/z_image_turbo/resolve/main/split_files/vae/ae.safetensors)\n\n\nModel Storage Location\n\n```\nšŸ“‚ ComfyUI/\nā”œā”€ā”€ šŸ“‚ models/\nā”‚ ā”œā”€ā”€ šŸ“‚ text_encoders/\nā”‚ ā”‚ ā””ā”€ā”€ qwen_3_4b.safetensors\nā”‚ ā”œā”€ā”€ šŸ“‚ diffusion_models/\nā”‚ ā”‚ ā””ā”€ā”€ z_image_turbo_bf16.safetensors\nā”‚ ā””ā”€ā”€ šŸ“‚ vae/\nā”‚ ā””ā”€ā”€ ae.safetensors\n```\n" - 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"id": "07824bbb-6672-4bb0-ac36-4313a519e35b", - "revision": 0, - "last_node_id": 329, - "last_link_id": 646, - "nodes": [ - { - "id": 103, - "type": "MarkdownNote", - "pos": [ - -1220, - 3530 - ], - "size": [ - 750, - 1200 - ], - "flags": {}, - "order": 0, - "mode": 0, - "inputs": [], - "outputs": [], - "title": "Model Links", - "properties": { - "ue_properties": { - "widget_ue_connectable": {}, - "version": "7.7", - "input_ue_unconnectable": {} - } - }, - "widgets_values": [ - "- Huggingface: [Lightricks/LTX-2.3](https://huggingface.co/Lightricks/LTX-2.3/)\n- Github: [LTX-2](https://github.com/Lightricks/LTX-2)\n\n## LTX-2.3 Prompting Tips\n\n1. **Core Actions**: Describe events and actions as they occur over time \n2. **Visual Details**: Describe all visual details you want to appear in the video \n3. **Audio**: Describe sounds and dialogue needed for the scene\n\n## Report LTX-2.3 Issues\nTo report any issues when running this workflow, [go to GitHub](https://github.com/Lightricks/ComfyUI-LTXVideo/issues)\n\n## Model Links (for Local Users)\n\n**checkpoints**\n\n- [ltx-2.3-22b-dev-fp8.safetensors](https://huggingface.co/Lightricks/LTX-2.3-fp8/resolve/main/ltx-2.3-22b-dev-fp8.safetensors)\n\n**loras**\n\n- [ltx_2.3_22b_distilled_1.1_lora_dynamic_fro09_avg_rank_111_bf16.safetensors](https://huggingface.co/Comfy-Org/ltx-2.3/resolve/main/split_files/loras/ltx_2.3_22b_distilled_1.1_lora_dynamic_fro09_avg_rank_111_bf16.safetensors)\n- [gemma-3-12b-it-abliterated_lora_rank64_bf16.safetensors](https://huggingface.co/Comfy-Org/ltx-2/resolve/main/split_files/loras/gemma-3-12b-it-abliterated_lora_rank64_bf16.safetensors)\n\n**latent_upscale_models**\n\n- [ltx-2.3-spatial-upscaler-x2-1.1.safetensors](https://huggingface.co/Lightricks/LTX-2.3/resolve/main/ltx-2.3-spatial-upscaler-x2-1.1.safetensors)\n\n\n## Model Storage Location\n\n```\nšŸ“‚ ComfyUI/\nā”œā”€ā”€ šŸ“‚ models/\nā”‚ ā”œā”€ā”€ šŸ“‚ checkpoints/\nā”‚ ā”‚ ā””ā”€ā”€ ltx-2.3-22b-dev-fp8.safetensors\nā”‚ ā”œā”€ā”€ šŸ“‚ loras/\nā”‚ ā”‚ ā”œā”€ā”€ ltx_2.3_22b_distilled_1.1_lora_dynamic_fro09_avg_rank_111_bf16.safetensors\nā”‚ ā”‚ ā””ā”€ā”€ gemma-3-12b-it-abliterated_lora_rank64_bf16.safetensors\nā”‚ ā””ā”€ā”€ šŸ“‚ latent_upscale_models/\nā”‚ ā””ā”€ā”€ ltx-2.3-spatial-upscaler-x2-1.1.safetensors\n```\n\n## Report Issue\n\nNote: Please update ComfyUI first ([guide](https://docs.comfy.org/installation/update_comfyui)) and prepare required models. Desktop/Cloud updates follow stable releases, so some nightly-supported models may not be available yet.\n\n- Cannot run / runtime errors: [ComfyUI/issues](https://github.com/Comfy-Org/ComfyUI/issues)\n- UI / frontend issues: [ComfyUI_frontend/issues](https://github.com/Comfy-Org/ComfyUI_frontend/issues)\n- Workflow issues: [workflow_templates/issues](https://github.com/Comfy-Org/workflow_templates/issues)\n" - ], - "color": "#222", - "bgcolor": "#000" - }, - { - "id": 269, - "type": "LoadImage", - "pos": [ - -440, - 3530 - ], - "size": [ - 410, - 530 - ], - "flags": {}, - "order": 1, - "mode": 0, - "inputs": [], - "outputs": [ - { - "name": "IMAGE", - "type": "IMAGE", - "links": [ - 633 - ] - }, - { - "name": "MASK", - "type": "MASK", - "links": null - } - ], - "properties": { - "enableTabs": false, - "tabWidth": 65, - "tabXOffset": 10, - "hasSecondTab": false, - "secondTabText": "Send Back", - "secondTabOffset": 80, - "secondTabWidth": 65, - "cnr_id": "comfy-core", - "ver": "0.16.3", - 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"version": "7.1", - "input_ue_unconnectable": {} - } - }, - "widgets_values": [ - "[Tutorial](https://docs.comfy.org/tutorials/video/wan/wan2_2\n)\n\n**Diffusion Model**\n- [wan2.2_i2v_high_noise_14B_fp8_scaled.safetensors](https://huggingface.co/Comfy-Org/Wan_2.2_ComfyUI_Repackaged/resolve/main/split_files/diffusion_models/wan2.2_i2v_high_noise_14B_fp8_scaled.safetensors)\n- [wan2.2_i2v_low_noise_14B_fp8_scaled.safetensors](https://huggingface.co/Comfy-Org/Wan_2.2_ComfyUI_Repackaged/resolve/main/split_files/diffusion_models/wan2.2_i2v_low_noise_14B_fp8_scaled.safetensors)\n\n**LoRA**\n- [wan2.2_i2v_lightx2v_4steps_lora_v1_low_noise.safetensors](https://huggingface.co/Comfy-Org/Wan_2.2_ComfyUI_Repackaged/resolve/main/split_files/loras/wan2.2_i2v_lightx2v_4steps_lora_v1_low_noise.safetensors)\n- [wan2.2_i2v_lightx2v_4steps_lora_v1_high_noise.safetensors](https://huggingface.co/Comfy-Org/Wan_2.2_ComfyUI_Repackaged/resolve/main/split_files/loras/wan2.2_i2v_lightx2v_4steps_lora_v1_high_noise.safetensors)\n\n**VAE**\n- [wan_2.1_vae.safetensors](https://huggingface.co/Comfy-Org/Wan_2.2_ComfyUI_Repackaged/resolve/main/split_files/vae/wan_2.1_vae.safetensors)\n\n**Text Encoder** \n- [umt5_xxl_fp8_e4m3fn_scaled.safetensors](https://huggingface.co/Comfy-Org/Wan_2.1_ComfyUI_repackaged/resolve/main/split_files/text_encoders/umt5_xxl_fp8_e4m3fn_scaled.safetensors)\n\n\nFile save location\n\n```\nComfyUI/\nā”œā”€ā”€ā”€šŸ“‚ models/\nā”‚ ā”œā”€ā”€ā”€šŸ“‚ diffusion_models/\nā”‚ ā”‚ ā”œā”€ā”€ā”€ wan2.2_i2v_low_noise_14B_fp8_scaled.safetensors\nā”‚ ā”‚ ā””ā”€ā”€ā”€ wan2.2_i2v_high_noise_14B_fp8_scaled.safetensors\nā”‚ ā”œā”€ā”€ā”€šŸ“‚ loras/\nā”‚ ā”‚ ā”œā”€ā”€ā”€ wan2.2_i2v_lightx2v_4steps_lora_v1_low_noise.safetensors\nā”‚ ā”‚ ā””ā”€ā”€ā”€ wan2.2_i2v_lightx2v_4steps_lora_v1_low_noise.safetensors\nā”‚ ā”œā”€ā”€ā”€šŸ“‚ text_encoders/\nā”‚ ā”‚ ā””ā”€ā”€ā”€ umt5_xxl_fp8_e4m3fn_scaled.safetensors \nā”‚ ā””ā”€ā”€ā”€šŸ“‚ vae/\nā”‚ ā””ā”€ā”€ wan_2.1_vae.safetensors\n```\n" - 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"origin_id": 162, - "origin_slot": 0, - "target_id": 94, - "target_slot": 2, - "type": "FLOAT" - }, - { - "id": 285, - "origin_id": -10, - "origin_slot": 5, - "target_id": 86, - "target_slot": 4, - "type": "INT" - }, - { - "id": 286, - "origin_id": -10, - "origin_slot": 6, - "target_id": 95, - "target_slot": 0, - "type": "COMBO" - }, - { - "id": 287, - "origin_id": -10, - "origin_slot": 7, - "target_id": 101, - "target_slot": 1, - "type": "COMBO" - }, - { - "id": 288, - "origin_id": -10, - "origin_slot": 8, - "target_id": 96, - "target_slot": 0, - "type": "COMBO" - }, - { - "id": 289, - "origin_id": -10, - "origin_slot": 9, - "target_id": 102, - "target_slot": 1, - "type": "COMBO" - }, - { - "id": 290, - "origin_id": -10, - "origin_slot": 10, - "target_id": 84, - "target_slot": 0, - "type": "COMBO" - }, - { - "id": 291, - "origin_id": -10, - "origin_slot": 11, - "target_id": 90, - "target_slot": 0, - "type": "COMBO" - }, - { - "id": 292, - "origin_id": -10, - "origin_slot": 12, - "target_id": 131, - "target_slot": 0, - "type": "BOOLEAN" - } - ], - "extra": { - "workflowRendererVersion": "LG", - "ue_links": [] - } - } - ] - }, - "config": {}, - "extra": { - "frontendVersion": "1.42.10", - "workflowRendererVersion": "LG", - "VHS_latentpreview": false, - "VHS_latentpreviewrate": 0, - "VHS_MetadataImage": true, - "VHS_KeepIntermediate": true, - "ue_links": [], - "ds": { - "scale": 0.5563375096270589, - "offset": [ - 1118.671140524013, - 855.6803172750391 - ] - } - }, - "version": 0.4 -} diff --git a/src/renderer/extensions/firstRunTour/roleResolver.test.ts b/src/renderer/extensions/firstRunTour/roleResolver.test.ts index b57f634fa4..006c43e1cf 100644 --- a/src/renderer/extensions/firstRunTour/roleResolver.test.ts +++ b/src/renderer/extensions/firstRunTour/roleResolver.test.ts @@ -3,133 +3,13 @@ import { describe, expect, it } from 'vitest' import type { ComfyWorkflowJSON } from '@/platform/workflow/validation/schemas/workflowSchema' import { toNodeId } from '@/types/nodeId' -import { loadTemplateWorkflow } from './__fixtures__/loadTemplateWorkflow' import { fromWorkflowJson, resolveRoles, templateOverrides } from './roleResolver' -import type { CuratedTemplateId } from './roleResolver' - -interface CuratedExpectation { - sourceId: number | null - promptInnerId: number - promptWidget: string - engineId: number - sinkId: number - mediaKind: 'image' | 'video' -} - -const CURATED: Record = { - image_krea2_turbo_t2i: { - sourceId: null, - promptInnerId: 19, - promptWidget: 'value', - engineId: 3, - sinkId: 29, - mediaKind: 'image' - }, - image_z_image_turbo: { - sourceId: null, - promptInnerId: 27, - promptWidget: 'text', - engineId: 3, - sinkId: 9, - mediaKind: 'image' - }, - video_ltx2_3_i2v: { - sourceId: 269, - promptInnerId: 319, - promptWidget: 'value', - engineId: 283, - sinkId: 75, - mediaKind: 'video' - }, - video_wan2_2_14B_i2v: { - sourceId: 97, - promptInnerId: 93, - promptWidget: 'text', - engineId: 86, - sinkId: 108, - mediaKind: 'video' - }, - flux_kontext_dev_basic: { - sourceId: 190, - promptInnerId: 6, - promptWidget: 'text', - engineId: 31, - sinkId: 136, - mediaKind: 'image' - } -} - -const curatedIds = Object.keys(CURATED) as CuratedTemplateId[] - -describe('resolveRoles ā€” curated templates, heuristics only (no override)', () => { - it.for(curatedIds)('resolves %s from its real JSON', (id) => { - const expected = CURATED[id] - const roles = resolveRoles(loadTemplateWorkflow(id)) - - if (expected.sourceId === null) { - expect(roles.source).toBeNull() - } else { - expect(roles.source?.nodeId).toBe(toNodeId(expected.sourceId)) - } - expect(roles.prompt?.innerNodeId).toBe(toNodeId(expected.promptInnerId)) - expect(roles.prompt?.widgetName).toBe(expected.promptWidget) - expect(roles.engine?.nodeId).toBe(toNodeId(expected.engineId)) - expect(roles.sink?.nodeId).toBe(toNodeId(expected.sinkId)) - expect(roles.mediaKind).toBe(expected.mediaKind) - }) - - it('rejects the internal-fed decoy CLIPTextEncode (krea 6, ltx 303)', () => { - expect( - resolveRoles(loadTemplateWorkflow('image_krea2_turbo_t2i')).prompt - ?.innerNodeId - ).not.toBe(toNodeId(6)) - expect( - resolveRoles(loadTemplateWorkflow('video_ltx2_3_i2v')).prompt?.innerNodeId - ).not.toBe(toNodeId(303)) - }) - - it('picks the boundary-fed user prompt over a sibling system prompt (krea)', () => { - const roles = resolveRoles(loadTemplateWorkflow('image_krea2_turbo_t2i')) - expect(roles.prompt?.innerNodeId).toBe(toNodeId(19)) - }) - - it('picks the positive CLIPTextEncode over the negative one (wan)', () => { - const roles = resolveRoles(loadTemplateWorkflow('video_wan2_2_14B_i2v')) - expect(roles.prompt?.innerNodeId).toBe(toNodeId(93)) - }) - - it('picks one source when several LoadImage exist (flux)', () => { - const roles = resolveRoles(loadTemplateWorkflow('flux_kontext_dev_basic')) - expect(roles.source?.nodeId).toBe(toNodeId(190)) - }) - - it('exposes the subgraph node id and prompt port for fallback', () => { - const zImage = resolveRoles(loadTemplateWorkflow('image_z_image_turbo')) - expect(zImage.prompt?.subgraphNodeId).toBe(toNodeId(57)) - expect(zImage.prompt?.portFallback).toBe('text') - - const ltx = resolveRoles(loadTemplateWorkflow('video_ltx2_3_i2v')) - expect(ltx.prompt?.portFallback).toBe('value') - }) -}) - -describe('templateOverrides pin the heuristic result', () => { - it('matches the heuristic result for every curated id', () => { - for (const id of curatedIds) { - const roles = resolveRoles(loadTemplateWorkflow(id)) - const pin = templateOverrides[id] - expect(pin.promptNodeId).toBe(roles.prompt?.innerNodeId) - expect(pin.engineNodeId).toBe(roles.engine?.nodeId) - expect(pin.sinkNodeId).toBe(roles.sink?.nodeId) - expect(pin.mediaKind).toBe(roles.mediaKind) - if (roles.source) expect(pin.sourceNodeId).toBe(roles.source.nodeId) - } - }) +describe('templateOverrides applied to the graph', () => { it('override sink, engine, and media win over the heuristics on the graph', () => { const pin = templateOverrides.image_z_image_turbo const roles = resolveRoles( @@ -162,22 +42,53 @@ describe('templateOverrides pin the heuristic result', () => { }) it('spotlights the subgraph host, not the pinned inner node, for a nested prompt', () => { + const subgraphId = '33333333-3333-3333-3333-333333333333' + const pin = templateOverrides.image_z_image_turbo const roles = resolveRoles( - loadTemplateWorkflow('flux_kontext_dev_basic'), - 'flux_kontext_dev_basic' + { + ...workflow([ + node(50, subgraphId, { inputs: [] }), + node(9, 'SaveImage', { + inputs: [{ name: 'images', type: 'IMAGE', link: 8 }] + }) + ]), + definitions: { + subgraphs: [ + { + id: subgraphId, + inputs: [], + nodes: [cte(Number(pin.promptNodeId), 4, 'a red fox')], + links: [] + } + ] + } + } as unknown as ComfyWorkflowJSON, + 'image_z_image_turbo' ) - expect(roles.prompt?.innerNodeId).toBe(toNodeId(6)) - expect(roles.prompt?.subgraphNodeId).toBe(toNodeId(192)) + expect(roles.prompt?.innerNodeId).toBe(pin.promptNodeId) + expect(roles.prompt?.subgraphNodeId).toBe(toNodeId(50)) }) it('ignores an unknown template id and falls back to heuristics', () => { - const withUnknown = resolveRoles( - loadTemplateWorkflow('image_z_image_turbo'), - 'not_a_real_template' + const graph = workflow( + [ + cte(6, 4, 'a red fox'), + node(3, 'KSampler', { + inputs: [{ name: 'positive', type: 'CONDITIONING', link: 4 }] + }), + node(9, 'SaveImage', { + inputs: [{ name: 'images', type: 'IMAGE', link: 8 }] + }) + ], + [ + [4, 6, 0, 3, 1, 'CONDITIONING'], + [8, 3, 0, 9, 0, 'IMAGE'] + ] + ) + expect(resolveRoles(graph, 'not_a_real_template')).toEqual( + resolveRoles(graph) ) - const heuristic = resolveRoles(loadTemplateWorkflow('image_z_image_turbo')) - expect(withUnknown).toEqual(heuristic) }) }) @@ -370,16 +281,46 @@ describe('fromWorkflowJson normalizes the serialized shape', () => { }) it('reads object links and the boundary origin inside subgraphs', () => { - const graph = fromWorkflowJson(loadTemplateWorkflow('image_z_image_turbo')) - const subgraph = graph.subgraphs[0] - const clip = subgraph.nodes.find((n) => n.id === toNodeId(27)) + const subgraphId = '44444444-4444-4444-4444-444444444444' + const graph = fromWorkflowJson({ + ...workflow([node(50, subgraphId, { inputs: [] })]), + definitions: { + subgraphs: [ + { + id: subgraphId, + inputs: [{ name: 'text', type: 'STRING' }], + nodes: [ + node(27, 'CLIPTextEncode', { + inputs: [{ name: 'text', type: 'STRING', link: 7 }] + }) + ], + links: [ + { + id: 7, + origin_id: -10, + origin_slot: 0, + target_id: 27, + target_slot: 0 + } + ] + } + ] + } + } as unknown as ComfyWorkflowJSON) + const clip = graph.subgraphs[0].nodes.find((n) => n.id === toNodeId(27)) const textInput = clip?.inputs.find((i) => i.name === 'text') expect(textInput?.origin).toEqual({ kind: 'boundary', slot: 0 }) }) it('flags the hosting subgraph node', () => { - const graph = fromWorkflowJson(loadTemplateWorkflow('image_z_image_turbo')) + const subgraphId = '44444444-4444-4444-4444-444444444444' + const graph = fromWorkflowJson({ + ...workflow([node(50, subgraphId, { inputs: [] })]), + definitions: { + subgraphs: [{ id: subgraphId, inputs: [], nodes: [], links: [] }] + } + } as unknown as ComfyWorkflowJSON) const host = graph.nodes.find((n) => n.subgraphId !== null) expect(host?.subgraphId).toBe(graph.subgraphs[0].id) @@ -489,11 +430,24 @@ describe('resolveRoles ā€” hostile node types do not match prototype members', ( }) it('ignores a template id that names a prototype member', () => { - const heuristic = resolveRoles(loadTemplateWorkflow('image_z_image_turbo')) + const graph = workflow( + [ + cte(6, 4, 'a red fox'), + node(3, 'KSampler', { + inputs: [{ name: 'positive', type: 'CONDITIONING', link: 4 }] + }), + node(9, 'SaveImage', { + inputs: [{ name: 'images', type: 'IMAGE', link: 8 }] + }) + ], + [ + [4, 6, 0, 3, 1, 'CONDITIONING'], + [8, 3, 0, 9, 0, 'IMAGE'] + ] + ) + const heuristic = resolveRoles(graph) for (const id of ['constructor', 'toString', 'hasOwnProperty']) { - expect( - resolveRoles(loadTemplateWorkflow('image_z_image_turbo'), id) - ).toEqual(heuristic) + expect(resolveRoles(graph, id)).toEqual(heuristic) } }) })