feat: mark 429 widgets as advanced for collapsible UI (#12197)
* 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 * fix: remove advanced=True from DynamicCombo.Input (unsupported) Amp-Thread-ID: https://ampcode.com/threads/T-019c1734-6b61-702e-b333-f02c399963fc * fix: address review - un-mark model merge, video, image, and training node widgets as advanced Per comfyanonymous review: - Model merge arguments should not be advanced (all 14 model-specific merge classes) - SaveAnimatedWEBP lossless/quality/method should not be advanced - SaveWEBM/SaveVideo codec/crf/format should not be advanced - TrainLoraNode options should not be advanced (7 inputs) Amp-Thread-ID: https://ampcode.com/threads/T-019c322b-a3a8-71b7-9962-d44573ca6352 * fix: un-mark batch_size and webcam width/height as advanced (should stay basic) Amp-Thread-ID: https://ampcode.com/threads/T-019c3236-1417-74aa-82a3-bcb365fbe9d1 --------- Co-authored-by: Jedrzej Kosinski <kosinkadink1@gmail.com>
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@@ -138,7 +138,7 @@ class HunyuanVideo15SuperResolution(io.ComfyNode):
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io.Image.Input("start_image", optional=True),
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io.ClipVisionOutput.Input("clip_vision_output", optional=True),
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io.Latent.Input("latent"),
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io.Float.Input("noise_augmentation", default=0.70, min=0.0, max=1.0, step=0.01),
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io.Float.Input("noise_augmentation", default=0.70, min=0.0, max=1.0, step=0.01, advanced=True),
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],
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outputs=[
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@@ -285,6 +285,7 @@ class TextEncodeHunyuanVideo_ImageToVideo(io.ComfyNode):
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min=1,
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max=512,
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tooltip="How much the image influences things vs the text prompt. Higher number means more influence from the text prompt.",
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advanced=True,
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),
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],
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outputs=[
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@@ -313,7 +314,7 @@ class HunyuanImageToVideo(io.ComfyNode):
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io.Int.Input("height", default=480, min=16, max=nodes.MAX_RESOLUTION, step=16),
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io.Int.Input("length", default=53, min=1, max=nodes.MAX_RESOLUTION, step=4),
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io.Int.Input("batch_size", default=1, min=1, max=4096),
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io.Combo.Input("guidance_type", options=["v1 (concat)", "v2 (replace)", "custom"]),
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io.Combo.Input("guidance_type", options=["v1 (concat)", "v2 (replace)", "custom"], advanced=True),
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io.Image.Input("start_image", optional=True),
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],
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outputs=[
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@@ -384,7 +385,7 @@ class HunyuanRefinerLatent(io.ComfyNode):
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io.Conditioning.Input("positive"),
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io.Conditioning.Input("negative"),
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io.Latent.Input("latent"),
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io.Float.Input("noise_augmentation", default=0.10, min=0.0, max=1.0, step=0.01),
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io.Float.Input("noise_augmentation", default=0.10, min=0.0, max=1.0, step=0.01, advanced=True),
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],
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outputs=[
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