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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
Download Patch File Download Diff File Expand all files Collapse all files

16
comfy_extras/nodes_model_advanced.py
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@@ -53,7 +53,7 @@ class ModelSamplingDiscrete:
def INPUT_TYPES(s):
return {"required": { "model": ("MODEL",),
"sampling": (["eps", "v_prediction", "lcm", "x0", "img_to_img"],),
"zsnr": ("BOOLEAN", {"default": False}),
"zsnr": ("BOOLEAN", {"default": False, "advanced": True}),
}}
RETURN_TYPES = ("MODEL",)
@@ -153,8 +153,8 @@ class ModelSamplingFlux:
@classmethod
def INPUT_TYPES(s):
return {"required": { "model": ("MODEL",),
"max_shift": ("FLOAT", {"default": 1.15, "min": 0.0, "max": 100.0, "step":0.01}),
"base_shift": ("FLOAT", {"default": 0.5, "min": 0.0, "max": 100.0, "step":0.01}),
"max_shift": ("FLOAT", {"default": 1.15, "min": 0.0, "max": 100.0, "step":0.01, "advanced": True}),
"base_shift": ("FLOAT", {"default": 0.5, "min": 0.0, "max": 100.0, "step":0.01, "advanced": True}),
"width": ("INT", {"default": 1024, "min": 16, "max": nodes.MAX_RESOLUTION, "step": 8}),
"height": ("INT", {"default": 1024, "min": 16, "max": nodes.MAX_RESOLUTION, "step": 8}),
}}
@@ -190,8 +190,8 @@ class ModelSamplingContinuousEDM:
def INPUT_TYPES(s):
return {"required": { "model": ("MODEL",),
"sampling": (["v_prediction", "edm", "edm_playground_v2.5", "eps", "cosmos_rflow"],),
"sigma_max": ("FLOAT", {"default": 120.0, "min": 0.0, "max": 1000.0, "step":0.001, "round": False}),
"sigma_min": ("FLOAT", {"default": 0.002, "min": 0.0, "max": 1000.0, "step":0.001, "round": False}),
"sigma_max": ("FLOAT", {"default": 120.0, "min": 0.0, "max": 1000.0, "step":0.001, "round": False, "advanced": True}),
"sigma_min": ("FLOAT", {"default": 0.002, "min": 0.0, "max": 1000.0, "step":0.001, "round": False, "advanced": True}),
}}
RETURN_TYPES = ("MODEL",)
@@ -235,8 +235,8 @@ class ModelSamplingContinuousV:
def INPUT_TYPES(s):
return {"required": { "model": ("MODEL",),
"sampling": (["v_prediction"],),
"sigma_max": ("FLOAT", {"default": 500.0, "min": 0.0, "max": 1000.0, "step":0.001, "round": False}),
"sigma_min": ("FLOAT", {"default": 0.03, "min": 0.0, "max": 1000.0, "step":0.001, "round": False}),
"sigma_max": ("FLOAT", {"default": 500.0, "min": 0.0, "max": 1000.0, "step":0.001, "round": False, "advanced": True}),
"sigma_min": ("FLOAT", {"default": 0.03, "min": 0.0, "max": 1000.0, "step":0.001, "round": False, "advanced": True}),
}}
RETURN_TYPES = ("MODEL",)
@@ -303,7 +303,7 @@ class ModelComputeDtype:
@classmethod
def INPUT_TYPES(s):
return {"required": { "model": ("MODEL",),
"dtype": (["default", "fp32", "fp16", "bf16"],),
"dtype": (["default", "fp32", "fp16", "bf16"], {"advanced": True}),
}}
RETURN_TYPES = ("MODEL",)