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feat: mark 429 widgets as advanced for collapsible UI

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Mark widgets as advanced across core, comfy_extras, and comfy_api_nodes
to support the new collapsible advanced inputs section in the frontend.

Changes:
- 267 advanced markers in comfy_extras/
- 162 advanced markers in comfy_api_nodes/
- All files pass python3 -m py_compile verification

Widgets marked advanced (hidden by default):
- Scheduler internals: sigma_max, sigma_min, rho, mu, beta, alpha
- Sampler internals: eta, s_noise, order, rtol, atol, h_init, pcoeff, etc.
- Memory optimization: tile_size, overlap, temporal_size, temporal_overlap
- Pipeline controls: add_noise, start_at_step, end_at_step
- Timing controls: start_percent, end_percent
- Layer selection: stop_at_clip_layer, layers, block_number
- Video encoding: codec, crf, format
- Device/dtype: device, noise_device, dtype, weight_dtype

Widgets kept basic (always visible):
- Core params: strength, steps, cfg, denoise, seed, width, height
- Model selectors: ckpt_name, lora_name, vae_name, sampler_name
- Common controls: upscale_method, crop, batch_size, fps, opacity

Related: frontend PR #11939
Amp-Thread-ID: https://ampcode.com/threads/T-019c1734-6b61-702e-b333-f02c399963fc
This commit is contained in:
bymyself
2026-01-31 19:29:03 -08:00
parent 3aace5c8dc
commit ae20354b69
69 changed files with 443 additions and 294 deletions
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8
comfy_extras/nodes_post_processing.py
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@@ -179,9 +179,9 @@ class Sharpen(io.ComfyNode):
category="image/postprocessing",
inputs=[
io.Image.Input("image"),
io.Int.Input("sharpen_radius", default=1, min=1, max=31, step=1),
io.Float.Input("sigma", default=1.0, min=0.1, max=10.0, step=0.01),
io.Float.Input("alpha", default=1.0, min=0.0, max=5.0, step=0.01),
io.Int.Input("sharpen_radius", default=1, min=1, max=31, step=1, advanced=True),
io.Float.Input("sigma", default=1.0, min=0.1, max=10.0, step=0.01, advanced=True),
io.Float.Input("alpha", default=1.0, min=0.0, max=5.0, step=0.01, advanced=True),
],
outputs=[
io.Image.Output(),
@@ -225,7 +225,7 @@ class ImageScaleToTotalPixels(io.ComfyNode):
io.Image.Input("image"),
io.Combo.Input("upscale_method", options=cls.upscale_methods),
io.Float.Input("megapixels", default=1.0, min=0.01, max=16.0, step=0.01),
io.Int.Input("resolution_steps", default=1, min=1, max=256),
io.Int.Input("resolution_steps", default=1, min=1, max=256, advanced=True),
],
outputs=[
io.Image.Output(),