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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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16
comfy_extras/nodes_easycache.py
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@@ -343,10 +343,10 @@ class EasyCacheNode(io.ComfyNode):
is_experimental=True,
inputs=[
io.Model.Input("model", tooltip="The model to add EasyCache to."),
io.Float.Input("reuse_threshold", min=0.0, default=0.2, max=3.0, step=0.01, tooltip="The threshold for reusing cached steps."),
io.Float.Input("start_percent", min=0.0, default=0.15, max=1.0, step=0.01, tooltip="The relative sampling step to begin use of EasyCache."),
io.Float.Input("end_percent", min=0.0, default=0.95, max=1.0, step=0.01, tooltip="The relative sampling step to end use of EasyCache."),
io.Boolean.Input("verbose", default=False, tooltip="Whether to log verbose information."),
io.Float.Input("reuse_threshold", min=0.0, default=0.2, max=3.0, step=0.01, tooltip="The threshold for reusing cached steps.", advanced=True),
io.Float.Input("start_percent", min=0.0, default=0.15, max=1.0, step=0.01, tooltip="The relative sampling step to begin use of EasyCache.", advanced=True),
io.Float.Input("end_percent", min=0.0, default=0.95, max=1.0, step=0.01, tooltip="The relative sampling step to end use of EasyCache.", advanced=True),
io.Boolean.Input("verbose", default=False, tooltip="Whether to log verbose information.", advanced=True),
],
outputs=[
io.Model.Output(tooltip="The model with EasyCache."),
@@ -476,10 +476,10 @@ class LazyCacheNode(io.ComfyNode):
is_experimental=True,
inputs=[
io.Model.Input("model", tooltip="The model to add LazyCache to."),
io.Float.Input("reuse_threshold", min=0.0, default=0.2, max=3.0, step=0.01, tooltip="The threshold for reusing cached steps."),
io.Float.Input("start_percent", min=0.0, default=0.15, max=1.0, step=0.01, tooltip="The relative sampling step to begin use of LazyCache."),
io.Float.Input("end_percent", min=0.0, default=0.95, max=1.0, step=0.01, tooltip="The relative sampling step to end use of LazyCache."),
io.Boolean.Input("verbose", default=False, tooltip="Whether to log verbose information."),
io.Float.Input("reuse_threshold", min=0.0, default=0.2, max=3.0, step=0.01, tooltip="The threshold for reusing cached steps.", advanced=True),
io.Float.Input("start_percent", min=0.0, default=0.15, max=1.0, step=0.01, tooltip="The relative sampling step to begin use of LazyCache.", advanced=True),
io.Float.Input("end_percent", min=0.0, default=0.95, max=1.0, step=0.01, tooltip="The relative sampling step to end use of LazyCache.", advanced=True),
io.Boolean.Input("verbose", default=False, tooltip="Whether to log verbose information.", advanced=True),
],
outputs=[
io.Model.Output(tooltip="The model with LazyCache."),