Track bundled vendor runtime sources
This commit is contained in:
960
vendor/ComfyUI/comfy_api_nodes/nodes_grok.py
vendored
Normal file
960
vendor/ComfyUI/comfy_api_nodes/nodes_grok.py
vendored
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@@ -0,0 +1,960 @@
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import torch
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from typing_extensions import override
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from comfy_api.latest import IO, ComfyExtension, Input
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from comfy_api_nodes.apis.grok import (
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ImageEditRequest,
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ImageGenerationRequest,
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ImageGenerationResponse,
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InputUrlObject,
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VideoEditRequest,
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VideoExtensionRequest,
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VideoGenerationRequest,
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VideoGenerationResponse,
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VideoStatusResponse,
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)
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from comfy_api_nodes.util import (
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ApiEndpoint,
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download_url_to_image_tensor,
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download_url_to_video_output,
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get_fs_object_size,
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get_number_of_images,
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poll_op,
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sync_op,
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tensor_to_base64_string,
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upload_images_to_comfyapi,
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upload_video_to_comfyapi,
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validate_string,
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validate_video_duration,
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)
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_GROK_VIDEO_MODEL_API_IDS = {
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"grok-imagine-video-1.5": "grok-imagine-video-1.5",
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}
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def _extract_grok_price(response) -> float | None:
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if response.usage and response.usage.cost_in_usd_ticks is not None:
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return response.usage.cost_in_usd_ticks / 10_000_000_000
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return None
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def _extract_grok_video_price(response) -> float | None:
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price = _extract_grok_price(response)
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if price is not None:
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return price * 1.43
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return None
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class GrokImageNode(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="GrokImageNode",
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display_name="Grok Image",
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category="partner/image/Grok",
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description="Generate images using Grok based on a text prompt",
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inputs=[
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IO.Combo.Input(
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"model",
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options=[
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"grok-imagine-image-quality",
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"grok-imagine-image-pro",
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"grok-imagine-image",
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],
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),
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IO.String.Input(
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"prompt",
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multiline=True,
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tooltip="The text prompt used to generate the image",
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),
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IO.Combo.Input(
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"aspect_ratio",
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options=[
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"1:1",
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"2:3",
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"3:2",
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"3:4",
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"4:3",
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"9:16",
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"16:9",
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"9:19.5",
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"19.5:9",
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"9:20",
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"20:9",
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"1:2",
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"2:1",
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],
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),
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IO.Int.Input(
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"number_of_images",
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default=1,
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min=1,
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max=10,
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step=1,
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tooltip="Number of images to generate",
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display_mode=IO.NumberDisplay.number,
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),
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IO.Int.Input(
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"seed",
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default=0,
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min=0,
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max=2147483647,
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step=1,
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display_mode=IO.NumberDisplay.number,
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control_after_generate=True,
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tooltip="Seed to determine if node should re-run; "
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"actual results are nondeterministic regardless of seed.",
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),
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IO.Combo.Input("resolution", options=["1K", "2K"], optional=True),
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],
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outputs=[
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IO.Image.Output(),
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],
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hidden=[
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IO.Hidden.auth_token_comfy_org,
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IO.Hidden.api_key_comfy_org,
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IO.Hidden.unique_id,
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],
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is_api_node=True,
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price_badge=IO.PriceBadge(
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depends_on=IO.PriceBadgeDepends(widgets=["model", "number_of_images", "resolution"]),
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expr="""
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(
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$rate := widgets.model = "grok-imagine-image-quality"
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? (widgets.resolution = "1k" ? 0.05 : 0.07)
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: ($contains(widgets.model, "pro") ? 0.07 : 0.02);
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{"type":"usd","usd": $rate * widgets.number_of_images}
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)
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""",
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),
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)
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@classmethod
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async def execute(
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cls,
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model: str,
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prompt: str,
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aspect_ratio: str,
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number_of_images: int,
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seed: int,
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resolution: str = "1K",
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) -> IO.NodeOutput:
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validate_string(prompt, strip_whitespace=True, min_length=1)
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response = await sync_op(
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cls,
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ApiEndpoint(path="/proxy/xai/v1/images/generations", method="POST"),
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data=ImageGenerationRequest(
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model=model,
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prompt=prompt,
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aspect_ratio=aspect_ratio,
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n=number_of_images,
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seed=seed,
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resolution=resolution.lower(),
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),
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response_model=ImageGenerationResponse,
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price_extractor=_extract_grok_price,
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)
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if len(response.data) == 1:
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return IO.NodeOutput(await download_url_to_image_tensor(response.data[0].url))
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return IO.NodeOutput(
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torch.cat(
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[await download_url_to_image_tensor(i) for i in [str(d.url) for d in response.data if d.url]],
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)
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)
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_GROK_IMAGE_EDIT_ASPECT_RATIO_OPTIONS = [
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"auto",
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"1:1",
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"2:3",
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"3:2",
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"3:4",
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"4:3",
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"9:16",
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"16:9",
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"9:19.5",
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"19.5:9",
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"9:20",
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"20:9",
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"1:2",
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"2:1",
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]
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def _grok_image_edit_model_inputs(*, max_ref_images: int, with_aspect_ratio: bool):
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inputs = [
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IO.Autogrow.Input(
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"images",
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template=IO.Autogrow.TemplateNames(
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IO.Image.Input("image"),
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names=[f"image_{i}" for i in range(1, max_ref_images + 1)],
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min=1,
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),
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tooltip=(
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"Reference image to edit."
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if max_ref_images == 1
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else f"Reference image(s) to edit. Up to {max_ref_images} images."
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),
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),
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IO.Combo.Input("resolution", options=["1K", "2K"]),
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IO.Int.Input(
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"number_of_images",
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default=1,
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min=1,
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max=10,
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step=1,
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tooltip="Number of edited images to generate",
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display_mode=IO.NumberDisplay.number,
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),
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]
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if with_aspect_ratio:
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inputs.append(
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IO.Combo.Input(
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"aspect_ratio",
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options=_GROK_IMAGE_EDIT_ASPECT_RATIO_OPTIONS,
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tooltip="Only allowed when multiple images are connected.",
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)
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)
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return inputs
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class GrokImageEditNode(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="GrokImageEditNode",
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display_name="Grok Image Edit",
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category="partner/image/Grok",
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description="Modify an existing image based on a text prompt",
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inputs=[
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IO.Combo.Input(
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"model",
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options=[
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"grok-imagine-image-quality",
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"grok-imagine-image-pro",
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"grok-imagine-image",
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],
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),
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IO.Image.Input("image", display_name="images"),
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IO.String.Input(
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"prompt",
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multiline=True,
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tooltip="The text prompt used to generate the image",
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),
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IO.Combo.Input("resolution", options=["1K", "2K"]),
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IO.Int.Input(
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"number_of_images",
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default=1,
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min=1,
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max=10,
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step=1,
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tooltip="Number of edited images to generate",
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display_mode=IO.NumberDisplay.number,
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),
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IO.Int.Input(
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"seed",
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default=0,
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min=0,
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max=2147483647,
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step=1,
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display_mode=IO.NumberDisplay.number,
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control_after_generate=True,
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tooltip="Seed to determine if node should re-run; "
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"actual results are nondeterministic regardless of seed.",
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),
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IO.Combo.Input(
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"aspect_ratio",
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options=[
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"auto",
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"1:1",
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"2:3",
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"3:2",
|
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"3:4",
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"4:3",
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"9:16",
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"16:9",
|
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"9:19.5",
|
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"19.5:9",
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"9:20",
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"20:9",
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"1:2",
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"2:1",
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],
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optional=True,
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tooltip="Only allowed when multiple images are connected to the image input.",
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),
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],
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outputs=[
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IO.Image.Output(),
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],
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hidden=[
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IO.Hidden.auth_token_comfy_org,
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IO.Hidden.api_key_comfy_org,
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IO.Hidden.unique_id,
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],
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is_api_node=True,
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price_badge=IO.PriceBadge(
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depends_on=IO.PriceBadgeDepends(widgets=["model", "number_of_images", "resolution"]),
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expr="""
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(
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$isQualityModel := widgets.model = "grok-imagine-image-quality";
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$isPro := $contains(widgets.model, "pro");
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$rate := $isQualityModel
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? (widgets.resolution = "1k" ? 0.05 : 0.07)
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: ($isPro ? 0.07 : 0.02);
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$base := $isQualityModel ? 0.01 : 0.002;
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$output := $rate * widgets.number_of_images;
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$isPro
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? {"type":"usd","usd": $base + $output}
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: {"type":"range_usd","min_usd": $base + $output, "max_usd": 3 * $base + $output}
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)
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""",
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),
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is_deprecated=True,
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)
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@classmethod
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async def execute(
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cls,
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model: str,
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image: Input.Image,
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prompt: str,
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resolution: str,
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number_of_images: int,
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seed: int,
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aspect_ratio: str = "auto",
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) -> IO.NodeOutput:
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validate_string(prompt, strip_whitespace=True, min_length=1)
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if model == "grok-imagine-image-pro":
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if get_number_of_images(image) > 1:
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raise ValueError("The pro model supports only 1 input image.")
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elif get_number_of_images(image) > 3:
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raise ValueError("A maximum of 3 input images is supported.")
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if aspect_ratio != "auto" and get_number_of_images(image) == 1:
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raise ValueError(
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"Custom aspect ratio is only allowed when multiple images are connected to the image input."
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)
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response = await sync_op(
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cls,
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ApiEndpoint(path="/proxy/xai/v1/images/edits", method="POST"),
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data=ImageEditRequest(
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model=model,
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images=[InputUrlObject(url=f"data:image/png;base64,{tensor_to_base64_string(i)}") for i in image],
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prompt=prompt,
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resolution=resolution.lower(),
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n=number_of_images,
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seed=seed,
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aspect_ratio=None if aspect_ratio == "auto" else aspect_ratio,
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),
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response_model=ImageGenerationResponse,
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price_extractor=_extract_grok_price,
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)
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if len(response.data) == 1:
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return IO.NodeOutput(await download_url_to_image_tensor(response.data[0].url))
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return IO.NodeOutput(
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torch.cat(
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[await download_url_to_image_tensor(i) for i in [str(d.url) for d in response.data if d.url]],
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||||
)
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)
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class GrokImageEditNodeV2(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="GrokImageEditNodeV2",
|
||||
display_name="Grok Image Edit",
|
||||
category="partner/image/Grok",
|
||||
description="Modify an existing image based on a text prompt",
|
||||
inputs=[
|
||||
IO.String.Input(
|
||||
"prompt",
|
||||
multiline=True,
|
||||
default="",
|
||||
tooltip="The text prompt used to generate the image",
|
||||
),
|
||||
IO.DynamicCombo.Input(
|
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"model",
|
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options=[
|
||||
IO.DynamicCombo.Option(
|
||||
"grok-imagine-image-quality",
|
||||
_grok_image_edit_model_inputs(max_ref_images=3, with_aspect_ratio=True),
|
||||
),
|
||||
IO.DynamicCombo.Option(
|
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"grok-imagine-image-pro",
|
||||
_grok_image_edit_model_inputs(max_ref_images=1, with_aspect_ratio=False),
|
||||
),
|
||||
IO.DynamicCombo.Option(
|
||||
"grok-imagine-image",
|
||||
_grok_image_edit_model_inputs(max_ref_images=3, with_aspect_ratio=True),
|
||||
),
|
||||
],
|
||||
),
|
||||
IO.Int.Input(
|
||||
"seed",
|
||||
default=0,
|
||||
min=0,
|
||||
max=2147483647,
|
||||
step=1,
|
||||
display_mode=IO.NumberDisplay.number,
|
||||
control_after_generate=True,
|
||||
tooltip="Seed to determine if node should re-run; "
|
||||
"actual results are nondeterministic regardless of seed.",
|
||||
),
|
||||
],
|
||||
outputs=[
|
||||
IO.Image.Output(),
|
||||
],
|
||||
hidden=[
|
||||
IO.Hidden.auth_token_comfy_org,
|
||||
IO.Hidden.api_key_comfy_org,
|
||||
IO.Hidden.unique_id,
|
||||
],
|
||||
is_api_node=True,
|
||||
price_badge=IO.PriceBadge(
|
||||
depends_on=IO.PriceBadgeDepends(
|
||||
widgets=["model", "model.resolution", "model.number_of_images"],
|
||||
),
|
||||
expr="""
|
||||
(
|
||||
$isQualityModel := widgets.model = "grok-imagine-image-quality";
|
||||
$isPro := $contains(widgets.model, "pro");
|
||||
$res := $lookup(widgets, "model.resolution");
|
||||
$n := $lookup(widgets, "model.number_of_images");
|
||||
$rate := $isQualityModel
|
||||
? ($res = "1k" ? 0.05 : 0.07)
|
||||
: ($isPro ? 0.07 : 0.02);
|
||||
$base := $isQualityModel ? 0.01 : 0.002;
|
||||
$output := $rate * $n;
|
||||
$isPro
|
||||
? {"type":"usd","usd": $base + $output}
|
||||
: {"type":"range_usd","min_usd": $base + $output, "max_usd": 3 * $base + $output}
|
||||
)
|
||||
""",
|
||||
),
|
||||
)
|
||||
|
||||
@classmethod
|
||||
async def execute(
|
||||
cls,
|
||||
prompt: str,
|
||||
model: dict,
|
||||
seed: int,
|
||||
) -> IO.NodeOutput:
|
||||
validate_string(prompt, strip_whitespace=True, min_length=1)
|
||||
model_id = model["model"]
|
||||
resolution = model["resolution"]
|
||||
number_of_images = model["number_of_images"]
|
||||
images_dict = model.get("images") or {}
|
||||
aspect_ratio = model.get("aspect_ratio", "auto")
|
||||
|
||||
image_tensors: list[Input.Image] = [t for t in images_dict.values() if t is not None]
|
||||
n_images = sum(get_number_of_images(t) for t in image_tensors)
|
||||
if n_images < 1:
|
||||
raise ValueError("At least one image is required for editing.")
|
||||
if model_id == "grok-imagine-image-pro" and n_images > 1:
|
||||
raise ValueError("The pro model supports only 1 input image.")
|
||||
if model_id != "grok-imagine-image-pro" and n_images > 3:
|
||||
raise ValueError("A maximum of 3 input images is supported.")
|
||||
if aspect_ratio != "auto" and n_images == 1:
|
||||
raise ValueError(
|
||||
"Custom aspect ratio is only allowed when multiple images are connected to the image input."
|
||||
)
|
||||
|
||||
flat_tensors: list[torch.Tensor] = []
|
||||
for tensor in image_tensors:
|
||||
if len(tensor.shape) == 4:
|
||||
flat_tensors.extend(tensor[i] for i in range(tensor.shape[0]))
|
||||
else:
|
||||
flat_tensors.append(tensor)
|
||||
|
||||
response = await sync_op(
|
||||
cls,
|
||||
ApiEndpoint(path="/proxy/xai/v1/images/edits", method="POST"),
|
||||
data=ImageEditRequest(
|
||||
model=model_id,
|
||||
images=[
|
||||
InputUrlObject(url=f"data:image/png;base64,{tensor_to_base64_string(i)}") for i in flat_tensors
|
||||
],
|
||||
prompt=prompt,
|
||||
resolution=resolution.lower(),
|
||||
n=number_of_images,
|
||||
seed=seed,
|
||||
aspect_ratio=None if aspect_ratio == "auto" else aspect_ratio,
|
||||
),
|
||||
response_model=ImageGenerationResponse,
|
||||
price_extractor=_extract_grok_price,
|
||||
)
|
||||
if len(response.data) == 1:
|
||||
return IO.NodeOutput(await download_url_to_image_tensor(response.data[0].url))
|
||||
return IO.NodeOutput(
|
||||
torch.cat(
|
||||
[await download_url_to_image_tensor(i) for i in [str(d.url) for d in response.data if d.url]],
|
||||
)
|
||||
)
|
||||
|
||||
|
||||
class GrokVideoNode(IO.ComfyNode):
|
||||
|
||||
@classmethod
|
||||
def define_schema(cls):
|
||||
return IO.Schema(
|
||||
node_id="GrokVideoNode",
|
||||
display_name="Grok Video",
|
||||
category="partner/video/Grok",
|
||||
description="Generate video from a prompt or an image",
|
||||
inputs=[
|
||||
IO.Combo.Input(
|
||||
"model",
|
||||
options=["grok-imagine-video", "grok-imagine-video-1.5"],
|
||||
tooltip="grok-imagine-video-1.5 currently always requires an input image.",
|
||||
),
|
||||
IO.String.Input(
|
||||
"prompt",
|
||||
multiline=True,
|
||||
tooltip="Text description of the desired video.",
|
||||
),
|
||||
IO.Combo.Input(
|
||||
"resolution",
|
||||
options=["480p", "720p", "1080p"],
|
||||
tooltip="The resolution of the output video. 1080p is only available for grok-imagine-video-1.5.",
|
||||
),
|
||||
IO.Combo.Input(
|
||||
"aspect_ratio",
|
||||
options=["auto", "16:9", "4:3", "3:2", "1:1", "2:3", "3:4", "9:16"],
|
||||
tooltip="The aspect ratio of the output video.",
|
||||
),
|
||||
IO.Int.Input(
|
||||
"duration",
|
||||
default=6,
|
||||
min=1,
|
||||
max=15,
|
||||
step=1,
|
||||
tooltip="The duration of the output video in seconds.",
|
||||
display_mode=IO.NumberDisplay.slider,
|
||||
),
|
||||
IO.Int.Input(
|
||||
"seed",
|
||||
default=0,
|
||||
min=0,
|
||||
max=2147483647,
|
||||
step=1,
|
||||
display_mode=IO.NumberDisplay.number,
|
||||
control_after_generate=True,
|
||||
tooltip="Seed to determine if node should re-run; "
|
||||
"actual results are nondeterministic regardless of seed.",
|
||||
),
|
||||
IO.Image.Input(
|
||||
"image",
|
||||
optional=True,
|
||||
tooltip="Optional starting image for grok-imagine-video. Required for grok-imagine-video-1.5.",
|
||||
),
|
||||
],
|
||||
outputs=[
|
||||
IO.Video.Output(),
|
||||
],
|
||||
hidden=[
|
||||
IO.Hidden.auth_token_comfy_org,
|
||||
IO.Hidden.api_key_comfy_org,
|
||||
IO.Hidden.unique_id,
|
||||
],
|
||||
is_api_node=True,
|
||||
price_badge=IO.PriceBadge(
|
||||
depends_on=IO.PriceBadgeDepends(widgets=["model", "duration", "resolution"], inputs=["image"]),
|
||||
expr="""
|
||||
(
|
||||
$is15 := $contains(widgets.model, "1.5");
|
||||
$rate := $is15
|
||||
? (widgets.resolution = "1080p" ? 0.25 : (widgets.resolution = "720p" ? 0.14 : 0.08))
|
||||
: (widgets.resolution = "720p" ? 0.07 : 0.05);
|
||||
$imgCost := $is15 ? 0.01 : 0.002;
|
||||
$base := $rate * widgets.duration;
|
||||
$total := inputs.image.connected ? $base + $imgCost : $base;
|
||||
{"type":"usd","usd": $is15 ? $total * 1.43 : $total}
|
||||
)
|
||||
""",
|
||||
),
|
||||
)
|
||||
|
||||
@classmethod
|
||||
async def execute(
|
||||
cls,
|
||||
model: str,
|
||||
prompt: str,
|
||||
resolution: str,
|
||||
aspect_ratio: str,
|
||||
duration: int,
|
||||
seed: int,
|
||||
image: Input.Image | None = None,
|
||||
) -> IO.NodeOutput:
|
||||
if image is None and model == "grok-imagine-video-1.5":
|
||||
raise ValueError(f"The '{model}' model requires an input image; connect one to the 'image' input.")
|
||||
if resolution == "1080p" and model != "grok-imagine-video-1.5":
|
||||
raise ValueError(f"1080p resolution is only available for grok-imagine-video-1.5, not '{model}'.")
|
||||
image_url = None
|
||||
if image is not None:
|
||||
if get_number_of_images(image) != 1:
|
||||
raise ValueError("Only one input image is supported.")
|
||||
image_url = InputUrlObject(url=f"data:image/png;base64,{tensor_to_base64_string(image)}")
|
||||
validate_string(prompt, strip_whitespace=True, min_length=1)
|
||||
initial_response = await sync_op(
|
||||
cls,
|
||||
ApiEndpoint(path="/proxy/xai/v1/videos/generations", method="POST"),
|
||||
data=VideoGenerationRequest(
|
||||
model=_GROK_VIDEO_MODEL_API_IDS.get(model, model),
|
||||
image=image_url,
|
||||
prompt=prompt,
|
||||
resolution=resolution,
|
||||
duration=duration,
|
||||
aspect_ratio=None if aspect_ratio == "auto" else aspect_ratio,
|
||||
seed=seed,
|
||||
),
|
||||
response_model=VideoGenerationResponse,
|
||||
)
|
||||
response = await poll_op(
|
||||
cls,
|
||||
ApiEndpoint(path=f"/proxy/xai/v1/videos/{initial_response.request_id}"),
|
||||
status_extractor=lambda r: r.status if r.status is not None else "complete",
|
||||
response_model=VideoStatusResponse,
|
||||
price_extractor=_extract_grok_video_price if model == "grok-imagine-video-1.5" else _extract_grok_price,
|
||||
)
|
||||
return IO.NodeOutput(await download_url_to_video_output(response.video.url))
|
||||
|
||||
|
||||
class GrokVideoEditNode(IO.ComfyNode):
|
||||
|
||||
@classmethod
|
||||
def define_schema(cls):
|
||||
return IO.Schema(
|
||||
node_id="GrokVideoEditNode",
|
||||
display_name="Grok Video Edit",
|
||||
category="partner/video/Grok",
|
||||
description="Edit an existing video based on a text prompt.",
|
||||
inputs=[
|
||||
IO.Combo.Input("model", options=["grok-imagine-video"]),
|
||||
IO.String.Input(
|
||||
"prompt",
|
||||
multiline=True,
|
||||
tooltip="Text description of the desired video.",
|
||||
),
|
||||
IO.Video.Input("video", tooltip="Maximum supported duration is 8.7 seconds and 50MB file size."),
|
||||
IO.Int.Input(
|
||||
"seed",
|
||||
default=0,
|
||||
min=0,
|
||||
max=2147483647,
|
||||
step=1,
|
||||
display_mode=IO.NumberDisplay.number,
|
||||
control_after_generate=True,
|
||||
tooltip="Seed to determine if node should re-run; "
|
||||
"actual results are nondeterministic regardless of seed.",
|
||||
),
|
||||
],
|
||||
outputs=[
|
||||
IO.Video.Output(),
|
||||
],
|
||||
hidden=[
|
||||
IO.Hidden.auth_token_comfy_org,
|
||||
IO.Hidden.api_key_comfy_org,
|
||||
IO.Hidden.unique_id,
|
||||
],
|
||||
is_api_node=True,
|
||||
price_badge=IO.PriceBadge(
|
||||
expr="""{"type":"usd","usd": 0.06, "format": {"suffix": "/sec", "approximate": true}}""",
|
||||
),
|
||||
)
|
||||
|
||||
@classmethod
|
||||
async def execute(
|
||||
cls,
|
||||
model: str,
|
||||
prompt: str,
|
||||
video: Input.Video,
|
||||
seed: int,
|
||||
) -> IO.NodeOutput:
|
||||
validate_string(prompt, strip_whitespace=True, min_length=1)
|
||||
validate_video_duration(video, min_duration=1, max_duration=8.7)
|
||||
video_stream = video.get_stream_source()
|
||||
video_size = get_fs_object_size(video_stream)
|
||||
if video_size > 50 * 1024 * 1024:
|
||||
raise ValueError(f"Video size ({video_size / 1024 / 1024:.1f}MB) exceeds 50MB limit.")
|
||||
initial_response = await sync_op(
|
||||
cls,
|
||||
ApiEndpoint(path="/proxy/xai/v1/videos/edits", method="POST"),
|
||||
data=VideoEditRequest(
|
||||
model=model,
|
||||
video=InputUrlObject(url=await upload_video_to_comfyapi(cls, video)),
|
||||
prompt=prompt,
|
||||
seed=seed,
|
||||
),
|
||||
response_model=VideoGenerationResponse,
|
||||
)
|
||||
response = await poll_op(
|
||||
cls,
|
||||
ApiEndpoint(path=f"/proxy/xai/v1/videos/{initial_response.request_id}"),
|
||||
status_extractor=lambda r: r.status if r.status is not None else "complete",
|
||||
response_model=VideoStatusResponse,
|
||||
price_extractor=_extract_grok_price,
|
||||
)
|
||||
return IO.NodeOutput(await download_url_to_video_output(response.video.url))
|
||||
|
||||
|
||||
class GrokVideoReferenceNode(IO.ComfyNode):
|
||||
|
||||
@classmethod
|
||||
def define_schema(cls):
|
||||
return IO.Schema(
|
||||
node_id="GrokVideoReferenceNode",
|
||||
display_name="Grok Reference-to-Video",
|
||||
category="partner/video/Grok",
|
||||
description="Generate video guided by reference images as style and content references.",
|
||||
inputs=[
|
||||
IO.String.Input(
|
||||
"prompt",
|
||||
multiline=True,
|
||||
tooltip="Text description of the desired video.",
|
||||
),
|
||||
IO.DynamicCombo.Input(
|
||||
"model",
|
||||
options=[
|
||||
IO.DynamicCombo.Option(
|
||||
"grok-imagine-video",
|
||||
[
|
||||
IO.Autogrow.Input(
|
||||
"reference_images",
|
||||
template=IO.Autogrow.TemplatePrefix(
|
||||
IO.Image.Input("image"),
|
||||
prefix="reference_",
|
||||
min=1,
|
||||
max=7,
|
||||
),
|
||||
tooltip="Up to 7 reference images to guide the video generation.",
|
||||
),
|
||||
IO.Combo.Input(
|
||||
"resolution",
|
||||
options=["480p", "720p"],
|
||||
tooltip="The resolution of the output video.",
|
||||
),
|
||||
IO.Combo.Input(
|
||||
"aspect_ratio",
|
||||
options=["16:9", "4:3", "3:2", "1:1", "2:3", "3:4", "9:16"],
|
||||
tooltip="The aspect ratio of the output video.",
|
||||
),
|
||||
IO.Int.Input(
|
||||
"duration",
|
||||
default=6,
|
||||
min=2,
|
||||
max=10,
|
||||
step=1,
|
||||
tooltip="The duration of the output video in seconds.",
|
||||
display_mode=IO.NumberDisplay.slider,
|
||||
),
|
||||
],
|
||||
),
|
||||
],
|
||||
tooltip="The model to use for video generation.",
|
||||
),
|
||||
IO.Int.Input(
|
||||
"seed",
|
||||
default=0,
|
||||
min=0,
|
||||
max=2147483647,
|
||||
step=1,
|
||||
display_mode=IO.NumberDisplay.number,
|
||||
control_after_generate=True,
|
||||
tooltip="Seed to determine if node should re-run; "
|
||||
"actual results are nondeterministic regardless of seed.",
|
||||
),
|
||||
],
|
||||
outputs=[
|
||||
IO.Video.Output(),
|
||||
],
|
||||
hidden=[
|
||||
IO.Hidden.auth_token_comfy_org,
|
||||
IO.Hidden.api_key_comfy_org,
|
||||
IO.Hidden.unique_id,
|
||||
],
|
||||
is_api_node=True,
|
||||
price_badge=IO.PriceBadge(
|
||||
depends_on=IO.PriceBadgeDepends(
|
||||
widgets=["model.duration", "model.resolution"],
|
||||
input_groups=["model.reference_images"],
|
||||
),
|
||||
expr="""
|
||||
(
|
||||
$res := $lookup(widgets, "model.resolution");
|
||||
$dur := $lookup(widgets, "model.duration");
|
||||
$refs := $lookup(inputGroups, "model.reference_images");
|
||||
$rate := $res = "720p" ? 0.07 : 0.05;
|
||||
$price := ($rate * $dur + 0.002 * $refs) * 1.43;
|
||||
{"type":"usd","usd": $price}
|
||||
)
|
||||
""",
|
||||
),
|
||||
)
|
||||
|
||||
@classmethod
|
||||
async def execute(
|
||||
cls,
|
||||
prompt: str,
|
||||
model: dict,
|
||||
seed: int,
|
||||
) -> IO.NodeOutput:
|
||||
validate_string(prompt, strip_whitespace=True, min_length=1)
|
||||
ref_image_urls = await upload_images_to_comfyapi(
|
||||
cls,
|
||||
list(model["reference_images"].values()),
|
||||
mime_type="image/png",
|
||||
wait_label="Uploading base images",
|
||||
max_images=7,
|
||||
)
|
||||
initial_response = await sync_op(
|
||||
cls,
|
||||
ApiEndpoint(path="/proxy/xai/v1/videos/generations", method="POST"),
|
||||
data=VideoGenerationRequest(
|
||||
model=model["model"],
|
||||
reference_images=[InputUrlObject(url=i) for i in ref_image_urls],
|
||||
prompt=prompt,
|
||||
resolution=model["resolution"],
|
||||
duration=model["duration"],
|
||||
aspect_ratio=model["aspect_ratio"],
|
||||
seed=seed,
|
||||
),
|
||||
response_model=VideoGenerationResponse,
|
||||
)
|
||||
response = await poll_op(
|
||||
cls,
|
||||
ApiEndpoint(path=f"/proxy/xai/v1/videos/{initial_response.request_id}"),
|
||||
status_extractor=lambda r: r.status if r.status is not None else "complete",
|
||||
response_model=VideoStatusResponse,
|
||||
price_extractor=_extract_grok_video_price,
|
||||
)
|
||||
return IO.NodeOutput(await download_url_to_video_output(response.video.url))
|
||||
|
||||
|
||||
class GrokVideoExtendNode(IO.ComfyNode):
|
||||
|
||||
@classmethod
|
||||
def define_schema(cls):
|
||||
return IO.Schema(
|
||||
node_id="GrokVideoExtendNode",
|
||||
display_name="Grok Video Extend",
|
||||
category="partner/video/Grok",
|
||||
description="Extend an existing video with a seamless continuation based on a text prompt.",
|
||||
inputs=[
|
||||
IO.String.Input(
|
||||
"prompt",
|
||||
multiline=True,
|
||||
tooltip="Text description of what should happen next in the video.",
|
||||
),
|
||||
IO.Video.Input("video", tooltip="Source video to extend. MP4 format, 2-15 seconds."),
|
||||
IO.DynamicCombo.Input(
|
||||
"model",
|
||||
options=[
|
||||
IO.DynamicCombo.Option(
|
||||
"grok-imagine-video",
|
||||
[
|
||||
IO.Int.Input(
|
||||
"duration",
|
||||
default=8,
|
||||
min=2,
|
||||
max=10,
|
||||
step=1,
|
||||
tooltip="Length of the extension in seconds.",
|
||||
display_mode=IO.NumberDisplay.slider,
|
||||
),
|
||||
],
|
||||
),
|
||||
],
|
||||
tooltip="The model to use for video extension.",
|
||||
),
|
||||
IO.Int.Input(
|
||||
"seed",
|
||||
default=0,
|
||||
min=0,
|
||||
max=2147483647,
|
||||
step=1,
|
||||
display_mode=IO.NumberDisplay.number,
|
||||
control_after_generate=True,
|
||||
tooltip="Seed to determine if node should re-run; "
|
||||
"actual results are nondeterministic regardless of seed.",
|
||||
),
|
||||
],
|
||||
outputs=[
|
||||
IO.Video.Output(),
|
||||
],
|
||||
hidden=[
|
||||
IO.Hidden.auth_token_comfy_org,
|
||||
IO.Hidden.api_key_comfy_org,
|
||||
IO.Hidden.unique_id,
|
||||
],
|
||||
is_api_node=True,
|
||||
price_badge=IO.PriceBadge(
|
||||
depends_on=IO.PriceBadgeDepends(widgets=["model.duration"]),
|
||||
expr="""
|
||||
(
|
||||
$dur := $lookup(widgets, "model.duration");
|
||||
{
|
||||
"type": "range_usd",
|
||||
"min_usd": (0.02 + 0.05 * $dur) * 1.43,
|
||||
"max_usd": (0.15 + 0.05 * $dur) * 1.43
|
||||
}
|
||||
)
|
||||
""",
|
||||
),
|
||||
)
|
||||
|
||||
@classmethod
|
||||
async def execute(
|
||||
cls,
|
||||
prompt: str,
|
||||
video: Input.Video,
|
||||
model: dict,
|
||||
seed: int,
|
||||
) -> IO.NodeOutput:
|
||||
validate_string(prompt, strip_whitespace=True, min_length=1)
|
||||
validate_video_duration(video, min_duration=2, max_duration=15)
|
||||
video_size = get_fs_object_size(video.get_stream_source())
|
||||
if video_size > 50 * 1024 * 1024:
|
||||
raise ValueError(f"Video size ({video_size / 1024 / 1024:.1f}MB) exceeds 50MB limit.")
|
||||
initial_response = await sync_op(
|
||||
cls,
|
||||
ApiEndpoint(path="/proxy/xai/v1/videos/extensions", method="POST"),
|
||||
data=VideoExtensionRequest(
|
||||
prompt=prompt,
|
||||
video=InputUrlObject(url=await upload_video_to_comfyapi(cls, video)),
|
||||
duration=model["duration"],
|
||||
),
|
||||
response_model=VideoGenerationResponse,
|
||||
)
|
||||
response = await poll_op(
|
||||
cls,
|
||||
ApiEndpoint(path=f"/proxy/xai/v1/videos/{initial_response.request_id}"),
|
||||
status_extractor=lambda r: r.status if r.status is not None else "complete",
|
||||
response_model=VideoStatusResponse,
|
||||
price_extractor=_extract_grok_video_price,
|
||||
)
|
||||
return IO.NodeOutput(await download_url_to_video_output(response.video.url))
|
||||
|
||||
|
||||
class GrokExtension(ComfyExtension):
|
||||
@override
|
||||
async def get_node_list(self) -> list[type[IO.ComfyNode]]:
|
||||
return [
|
||||
GrokImageNode,
|
||||
GrokImageEditNode,
|
||||
GrokImageEditNodeV2,
|
||||
GrokVideoNode,
|
||||
GrokVideoReferenceNode,
|
||||
GrokVideoEditNode,
|
||||
GrokVideoExtendNode,
|
||||
]
|
||||
|
||||
|
||||
async def comfy_entrypoint() -> GrokExtension:
|
||||
return GrokExtension()
|
||||
Reference in New Issue
Block a user