Commit Graph

8 Commits

Author SHA1 Message Date
bymyself
ae20354b69 feat: mark 429 widgets as advanced for collapsible UI
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
2026-01-31 19:29:03 -08:00
comfyanonymous
f86c724ef2 Temporal area composition.
New ConditioningSetAreaPercentageVideo node.
2025-03-03 06:50:31 -05:00
comfyanonymous
037c3159b6 Move some nodes out of _for_testing. 2024-09-25 08:41:22 -04:00
Alex "mcmonkey" Goodwin
254838f23c
add simple error check to model loading (#4950) 2024-09-17 03:57:17 -04:00
comfyanonymous
40e124c6be SV3D support. 2024-03-18 16:54:13 -04:00
comfyanonymous
d76a04b6ea Add unfinished ImageOnlyCheckpointSave node to save a SVD checkpoint.
This node is unfinished, SVD checkpoints saved with this node will
work with ComfyUI but not with anything else.
2024-01-17 19:46:21 -05:00
comfyanonymous
02ffbb2de3 Fix typo. 2023-11-23 23:20:07 -05:00
comfyanonymous
42dfae6331 Nodes to properly use the SDV img2vid checkpoint.
The img2vid model is conditioned on clip vision output only which means
there's no CLIP model which is why I added a ImageOnlyCheckpointLoader to
load it. Note that the unClipCheckpointLoader can also load it because it
also has a CLIP_VISION output.

SDV_img2vid_Conditioning is the node used to pass the right conditioning
to the img2vid model.

VideoLinearCFGGuidance applies a linearly decreasing CFG scale to each
video frame from the cfg set in the sampler node to min_cfg.

SDV_img2vid_Conditioning can be found in conditioning->video_models
ImageOnlyCheckpointLoader can be found in loaders->video_models
VideoLinearCFGGuidance can be found in sampling->video_models
2023-11-23 19:48:49 -05:00