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https://github.com/comfyanonymous/ComfyUI.git
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9 Commits
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@ -1,2 +1,2 @@
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# Admins
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* @comfyanonymous @kosinkadink @guill
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* @comfyanonymous @kosinkadink @guill @alexisrolland @rattus128
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@ -342,6 +342,12 @@ def model_lora_keys_unet(model, key_map={}):
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key_map["base_model.model.{}".format(key_lora)] = k # Official base model loras
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key_map["lycoris_{}".format(key_lora.replace(".", "_"))] = k # LyCORIS/LoKR format
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if isinstance(model, comfy.model_base.ErnieImage):
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for k in sdk:
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if k.startswith("diffusion_model.") and k.endswith(".weight"):
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key_lora = k[len("diffusion_model."):-len(".weight")]
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key_map["transformer.{}".format(key_lora)] = k
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return key_map
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@ -290,7 +290,7 @@ class VideoFromFile(VideoInput):
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alphas = []
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alpha_channel = True
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break
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if frame.format.name in ("yuvj420p", "rgb24", "rgba", "pal8"):
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if frame.format.name in ("yuvj420p", "yuvj422p", "yuvj444p", "rgb24", "rgba", "pal8"):
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process_image_format = lambda a: a.float() / 255.0
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if alpha_channel:
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image_format = 'rgba'
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@ -157,6 +157,11 @@ class SeedanceCreateAssetResponse(BaseModel):
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asset_id: str = Field(...)
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class SeedanceVirtualLibraryCreateAssetRequest(BaseModel):
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url: str = Field(..., description="Publicly accessible URL of the image asset to upload.")
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hash: str = Field(..., description="Dedup key. Re-submitting the same hash returns the existing asset id.")
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# Dollars per 1K tokens, keyed by (model_id, has_video_input).
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SEEDANCE2_PRICE_PER_1K_TOKENS = {
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("dreamina-seedance-2-0-260128", False): 0.007,
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@ -1,3 +1,4 @@
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import hashlib
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import logging
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import math
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import re
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@ -20,6 +21,7 @@ from comfy_api_nodes.apis.bytedance import (
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SeedanceCreateAssetResponse,
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SeedanceCreateVisualValidateSessionResponse,
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SeedanceGetVisualValidateSessionResponse,
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SeedanceVirtualLibraryCreateAssetRequest,
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Seedream4Options,
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Seedream4TaskCreationRequest,
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TaskAudioContent,
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@ -271,6 +273,30 @@ async def _wait_for_asset_active(cls: type[IO.ComfyNode], asset_id: str, group_i
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)
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async def _seedance_virtual_library_upload_image_asset(
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cls: type[IO.ComfyNode],
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image: torch.Tensor,
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*,
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wait_label: str = "Uploading image",
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) -> str:
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"""Upload an image into the caller's per-customer Seedance virtual library."""
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public_url = await upload_image_to_comfyapi(cls, image, wait_label=wait_label)
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normalized = image.detach().cpu().contiguous().to(torch.float32)
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digest = hashlib.sha256()
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digest.update(str(tuple(normalized.shape)).encode("utf-8"))
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digest.update(b"\0")
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digest.update(normalized.numpy().tobytes())
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image_hash = digest.hexdigest()
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create_resp = await sync_op(
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cls,
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ApiEndpoint(path="/proxy/seedance/virtual-library/assets", method="POST"),
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response_model=SeedanceCreateAssetResponse,
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data=SeedanceVirtualLibraryCreateAssetRequest(url=public_url, hash=image_hash),
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)
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await _wait_for_asset_active(cls, create_resp.asset_id, group_id="virtual-library")
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return f"asset://{create_resp.asset_id}"
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def _seedance2_price_extractor(model_id: str, has_video_input: bool):
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"""Returns a price_extractor closure for Seedance 2.0 poll_op."""
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rate = SEEDANCE2_PRICE_PER_1K_TOKENS.get((model_id, has_video_input))
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@ -1507,7 +1533,9 @@ class ByteDance2FirstLastFrameNode(IO.ComfyNode):
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if first_frame_asset_id:
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first_frame_url = image_assets[first_frame_asset_id]
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else:
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first_frame_url = await upload_image_to_comfyapi(cls, first_frame, wait_label="Uploading first frame.")
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first_frame_url = await _seedance_virtual_library_upload_image_asset(
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cls, first_frame, wait_label="Uploading first frame."
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)
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content: list[TaskTextContent | TaskImageContent] = [
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TaskTextContent(text=model["prompt"]),
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@ -1527,7 +1555,9 @@ class ByteDance2FirstLastFrameNode(IO.ComfyNode):
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content.append(
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TaskImageContent(
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image_url=TaskImageContentUrl(
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url=await upload_image_to_comfyapi(cls, last_frame, wait_label="Uploading last frame.")
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url=await _seedance_virtual_library_upload_image_asset(
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cls, last_frame, wait_label="Uploading last frame."
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)
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),
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role="last_frame",
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),
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@ -1805,9 +1835,9 @@ class ByteDance2ReferenceNode(IO.ComfyNode):
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content.append(
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TaskImageContent(
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image_url=TaskImageContentUrl(
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url=await upload_image_to_comfyapi(
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url=await _seedance_virtual_library_upload_image_asset(
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cls,
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image=reference_images[key],
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reference_images[key],
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wait_label=f"Uploading image {i}",
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),
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),
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@ -413,7 +413,9 @@ def format_value(x):
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def _is_intermediate_output(dynprompt, node_id):
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class_type = dynprompt.get_node(node_id)["class_type"]
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class_def = nodes.NODE_CLASS_MAPPINGS[class_type]
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class_def = nodes.NODE_CLASS_MAPPINGS.get(class_type)
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if class_def is None:
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return False
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return getattr(class_def, 'HAS_INTERMEDIATE_OUTPUT', False)
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def _send_cached_ui(server, node_id, display_node_id, cached, prompt_id, ui_outputs):
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@ -1,5 +1,5 @@
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comfyui-frontend-package==1.42.15
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comfyui-workflow-templates==0.9.63
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comfyui-workflow-templates==0.9.65
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comfyui-embedded-docs==0.4.4
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torch
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torchsde
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