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https://github.com/comfyanonymous/ComfyUI.git
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ae20354b69
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
48 lines
1.6 KiB
Python
48 lines
1.6 KiB
Python
from comfy_api.latest import ComfyExtension, io
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from typing_extensions import override
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class ScaleROPE(io.ComfyNode):
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@classmethod
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def define_schema(cls):
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return io.Schema(
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node_id="ScaleROPE",
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category="advanced/model_patches",
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description="Scale and shift the ROPE of the model.",
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is_experimental=True,
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inputs=[
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io.Model.Input("model"),
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io.Float.Input("scale_x", default=1.0, min=0.0, max=100.0, step=0.1, advanced=True),
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io.Float.Input("shift_x", default=0.0, min=-256.0, max=256.0, step=0.1, advanced=True),
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io.Float.Input("scale_y", default=1.0, min=0.0, max=100.0, step=0.1, advanced=True),
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io.Float.Input("shift_y", default=0.0, min=-256.0, max=256.0, step=0.1, advanced=True),
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io.Float.Input("scale_t", default=1.0, min=0.0, max=100.0, step=0.1, advanced=True),
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io.Float.Input("shift_t", default=0.0, min=-256.0, max=256.0, step=0.1, advanced=True),
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],
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outputs=[
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io.Model.Output(),
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],
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)
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@classmethod
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def execute(cls, model, scale_x, shift_x, scale_y, shift_y, scale_t, shift_t) -> io.NodeOutput:
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m = model.clone()
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m.set_model_rope_options(scale_x, shift_x, scale_y, shift_y, scale_t, shift_t)
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return io.NodeOutput(m)
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class RopeExtension(ComfyExtension):
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@override
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async def get_node_list(self) -> list[type[io.ComfyNode]]:
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return [
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ScaleROPE
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]
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async def comfy_entrypoint() -> RopeExtension:
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return RopeExtension()
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