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fix/api-no
| Author | SHA1 | Date | |
|---|---|---|---|
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744002369a | ||
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4a489628d3 | ||
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ee1ae50cb3 | ||
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c5cf3ac68b | ||
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bbc02dc67f |
17
comfy/ops.py
17
comfy/ops.py
@@ -79,7 +79,7 @@ def cast_to_input(weight, input, non_blocking=False, copy=True):
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return comfy.model_management.cast_to(weight, input.dtype, input.device, non_blocking=non_blocking, copy=copy)
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def cast_bias_weight_with_vbar(s, dtype, device, bias_dtype, non_blocking, compute_dtype, want_requant):
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def cast_bias_weight_with_vbar(s, dtype, device, bias_dtype, non_blocking, compute_dtype):
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offload_stream = None
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xfer_dest = None
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@@ -170,10 +170,10 @@ def cast_bias_weight_with_vbar(s, dtype, device, bias_dtype, non_blocking, compu
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#FIXME: this is not accurate, we need to be sensitive to the compute dtype
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x = lowvram_fn(x)
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if (isinstance(orig, QuantizedTensor) and
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(want_requant and len(fns) == 0 or update_weight)):
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(orig.dtype == dtype and len(fns) == 0 or update_weight)):
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seed = comfy.utils.string_to_seed(s.seed_key)
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y = QuantizedTensor.from_float(x, s.layout_type, scale="recalculate", stochastic_rounding=seed)
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if want_requant and len(fns) == 0:
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if orig.dtype == dtype and len(fns) == 0:
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#The layer actually wants our freshly saved QT
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x = y
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elif update_weight:
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@@ -194,7 +194,7 @@ def cast_bias_weight_with_vbar(s, dtype, device, bias_dtype, non_blocking, compu
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return weight, bias, (offload_stream, device if signature is not None else None, None)
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def cast_bias_weight(s, input=None, dtype=None, device=None, bias_dtype=None, offloadable=False, compute_dtype=None, want_requant=False):
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def cast_bias_weight(s, input=None, dtype=None, device=None, bias_dtype=None, offloadable=False, compute_dtype=None):
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# NOTE: offloadable=False is a a legacy and if you are a custom node author reading this please pass
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# offloadable=True and call uncast_bias_weight() after your last usage of the weight/bias. This
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# will add async-offload support to your cast and improve performance.
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@@ -212,7 +212,7 @@ def cast_bias_weight(s, input=None, dtype=None, device=None, bias_dtype=None, of
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non_blocking = comfy.model_management.device_supports_non_blocking(device)
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if hasattr(s, "_v"):
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return cast_bias_weight_with_vbar(s, dtype, device, bias_dtype, non_blocking, compute_dtype, want_requant)
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return cast_bias_weight_with_vbar(s, dtype, device, bias_dtype, non_blocking, compute_dtype)
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if offloadable and (device != s.weight.device or
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(s.bias is not None and device != s.bias.device)):
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@@ -850,8 +850,8 @@ def mixed_precision_ops(quant_config={}, compute_dtype=torch.bfloat16, full_prec
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def _forward(self, input, weight, bias):
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return torch.nn.functional.linear(input, weight, bias)
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def forward_comfy_cast_weights(self, input, compute_dtype=None, want_requant=False):
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weight, bias, offload_stream = cast_bias_weight(self, input, offloadable=True, compute_dtype=compute_dtype, want_requant=want_requant)
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def forward_comfy_cast_weights(self, input, compute_dtype=None):
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weight, bias, offload_stream = cast_bias_weight(self, input, offloadable=True, compute_dtype=compute_dtype)
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x = self._forward(input, weight, bias)
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uncast_bias_weight(self, weight, bias, offload_stream)
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return x
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@@ -881,7 +881,8 @@ def mixed_precision_ops(quant_config={}, compute_dtype=torch.bfloat16, full_prec
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scale = comfy.model_management.cast_to_device(scale, input.device, None)
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input = QuantizedTensor.from_float(input_reshaped, self.layout_type, scale=scale)
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output = self.forward_comfy_cast_weights(input, compute_dtype, want_requant=isinstance(input, QuantizedTensor))
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output = self.forward_comfy_cast_weights(input, compute_dtype)
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# Reshape output back to 3D if input was 3D
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if reshaped_3d:
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@@ -198,6 +198,11 @@ dict_recraft_substyles_v3 = {
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}
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class RecraftModel(str, Enum):
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recraftv3 = 'recraftv3'
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recraftv2 = 'recraftv2'
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class RecraftImageSize(str, Enum):
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res_1024x1024 = '1024x1024'
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res_1365x1024 = '1365x1024'
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@@ -216,41 +221,6 @@ class RecraftImageSize(str, Enum):
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res_1707x1024 = '1707x1024'
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RECRAFT_V4_SIZES = [
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"1024x1024",
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"1536x768",
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"768x1536",
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"1280x832",
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"832x1280",
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"1216x896",
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"896x1216",
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"1152x896",
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"896x1152",
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"832x1344",
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"1280x896",
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"896x1280",
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"1344x768",
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"768x1344",
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]
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RECRAFT_V4_PRO_SIZES = [
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"2048x2048",
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"3072x1536",
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"1536x3072",
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"2560x1664",
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"1664x2560",
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"2432x1792",
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"1792x2432",
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"2304x1792",
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"1792x2304",
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"1664x2688",
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"1434x1024",
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"1024x1434",
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"2560x1792",
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"1792x2560",
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]
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class RecraftColorObject(BaseModel):
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rgb: list[int] = Field(..., description='An array of 3 integer values in range of 0...255 defining RGB Color Model')
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@@ -264,16 +234,17 @@ class RecraftControlsObject(BaseModel):
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class RecraftImageGenerationRequest(BaseModel):
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prompt: str = Field(..., description='The text prompt describing the image to generate')
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size: str | None = Field(None, description='The size of the generated image (e.g., "1024x1024")')
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size: RecraftImageSize | None = Field(None, description='The size of the generated image (e.g., "1024x1024")')
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n: int = Field(..., description='The number of images to generate')
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negative_prompt: str | None = Field(None, description='A text description of undesired elements on an image')
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model: str = Field(...)
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model: RecraftModel | None = Field(RecraftModel.recraftv3, description='The model to use for generation (e.g., "recraftv3")')
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style: str | None = Field(None, description='The style to apply to the generated image (e.g., "digital_illustration")')
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substyle: str | None = Field(None, description='The substyle to apply to the generated image, depending on the style input')
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controls: RecraftControlsObject | None = Field(None, description='A set of custom parameters to tweak generation process')
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style_id: str | None = Field(None, description='Use a previously uploaded style as a reference; UUID')
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strength: float | None = Field(None, description='Defines the difference with the original image, should lie in [0, 1], where 0 means almost identical, and 1 means miserable similarity')
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random_seed: int | None = Field(None, description="Seed for video generation")
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# text_layout
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class RecraftReturnedObject(BaseModel):
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@@ -1,4 +1,5 @@
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from io import BytesIO
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from typing import Optional, Union
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import aiohttp
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import torch
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@@ -8,8 +9,6 @@ from typing_extensions import override
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from comfy.utils import ProgressBar
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from comfy_api.latest import IO, ComfyExtension
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from comfy_api_nodes.apis.recraft import (
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RECRAFT_V4_PRO_SIZES,
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RECRAFT_V4_SIZES,
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RecraftColor,
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RecraftColorChain,
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RecraftControls,
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@@ -19,6 +18,7 @@ from comfy_api_nodes.apis.recraft import (
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RecraftImageGenerationResponse,
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RecraftImageSize,
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RecraftIO,
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RecraftModel,
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RecraftStyle,
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RecraftStyleV3,
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get_v3_substyles,
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@@ -39,7 +39,7 @@ async def handle_recraft_file_request(
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cls: type[IO.ComfyNode],
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image: torch.Tensor,
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path: str,
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mask: torch.Tensor | None = None,
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mask: Optional[torch.Tensor] = None,
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total_pixels: int = 4096 * 4096,
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timeout: int = 1024,
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request=None,
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@@ -73,11 +73,11 @@ async def handle_recraft_file_request(
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def recraft_multipart_parser(
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data,
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parent_key=None,
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formatter: type[callable] | None = None,
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converted_to_check: list[list] | None = None,
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formatter: Optional[type[callable]] = None,
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converted_to_check: Optional[list[list]] = None,
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is_list: bool = False,
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return_mode: str = "formdata", # "dict" | "formdata"
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) -> dict | aiohttp.FormData:
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) -> Union[dict, aiohttp.FormData]:
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"""
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Formats data such that multipart/form-data will work with aiohttp library when both files and data are present.
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@@ -309,7 +309,7 @@ class RecraftStyleInfiniteStyleLibrary(IO.ComfyNode):
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node_id="RecraftStyleV3InfiniteStyleLibrary",
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display_name="Recraft Style - Infinite Style Library",
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category="api node/image/Recraft",
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description="Choose style based on preexisting UUID from Recraft's Infinite Style Library.",
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description="Select style based on preexisting UUID from Recraft's Infinite Style Library.",
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inputs=[
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IO.String.Input("style_id", default="", tooltip="UUID of style from Infinite Style Library."),
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],
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@@ -485,7 +485,7 @@ class RecraftTextToImageNode(IO.ComfyNode):
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data=RecraftImageGenerationRequest(
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prompt=prompt,
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negative_prompt=negative_prompt,
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model="recraftv3",
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model=RecraftModel.recraftv3,
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size=size,
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n=n,
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style=recraft_style.style,
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@@ -598,7 +598,7 @@ class RecraftImageToImageNode(IO.ComfyNode):
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request = RecraftImageGenerationRequest(
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prompt=prompt,
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negative_prompt=negative_prompt,
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model="recraftv3",
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model=RecraftModel.recraftv3,
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n=n,
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strength=round(strength, 2),
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style=recraft_style.style,
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@@ -698,7 +698,7 @@ class RecraftImageInpaintingNode(IO.ComfyNode):
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request = RecraftImageGenerationRequest(
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prompt=prompt,
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negative_prompt=negative_prompt,
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model="recraftv3",
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model=RecraftModel.recraftv3,
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n=n,
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style=recraft_style.style,
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substyle=recraft_style.substyle,
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@@ -810,7 +810,7 @@ class RecraftTextToVectorNode(IO.ComfyNode):
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data=RecraftImageGenerationRequest(
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prompt=prompt,
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negative_prompt=negative_prompt,
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model="recraftv3",
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model=RecraftModel.recraftv3,
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size=size,
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n=n,
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style=recraft_style.style,
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@@ -933,7 +933,7 @@ class RecraftReplaceBackgroundNode(IO.ComfyNode):
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request = RecraftImageGenerationRequest(
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prompt=prompt,
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negative_prompt=negative_prompt,
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model="recraftv3",
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model=RecraftModel.recraftv3,
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n=n,
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style=recraft_style.style,
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substyle=recraft_style.substyle,
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@@ -1078,252 +1078,6 @@ class RecraftCreativeUpscaleNode(RecraftCrispUpscaleNode):
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)
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class RecraftV4TextToImageNode(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="RecraftV4TextToImageNode",
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display_name="Recraft V4 Text to Image",
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category="api node/image/Recraft",
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description="Generates images using Recraft V4 or V4 Pro models.",
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inputs=[
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IO.String.Input(
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"prompt",
|
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multiline=True,
|
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tooltip="Prompt for the image generation. Maximum 10,000 characters.",
|
||||
),
|
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IO.String.Input(
|
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"negative_prompt",
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multiline=True,
|
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tooltip="An optional text description of undesired elements on an image.",
|
||||
),
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IO.DynamicCombo.Input(
|
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"model",
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options=[
|
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IO.DynamicCombo.Option(
|
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"recraftv4",
|
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[
|
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IO.Combo.Input(
|
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"size",
|
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options=RECRAFT_V4_SIZES,
|
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default="1024x1024",
|
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tooltip="The size of the generated image.",
|
||||
),
|
||||
],
|
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),
|
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IO.DynamicCombo.Option(
|
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"recraftv4_pro",
|
||||
[
|
||||
IO.Combo.Input(
|
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"size",
|
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options=RECRAFT_V4_PRO_SIZES,
|
||||
default="2048x2048",
|
||||
tooltip="The size of the generated image.",
|
||||
),
|
||||
],
|
||||
),
|
||||
],
|
||||
tooltip="The model to use for generation.",
|
||||
),
|
||||
IO.Int.Input(
|
||||
"n",
|
||||
default=1,
|
||||
min=1,
|
||||
max=6,
|
||||
tooltip="The number of images to generate.",
|
||||
),
|
||||
IO.Int.Input(
|
||||
"seed",
|
||||
default=0,
|
||||
min=0,
|
||||
max=0xFFFFFFFFFFFFFFFF,
|
||||
control_after_generate=True,
|
||||
tooltip="Seed to determine if node should re-run; "
|
||||
"actual results are nondeterministic regardless of seed.",
|
||||
),
|
||||
IO.Custom(RecraftIO.CONTROLS).Input(
|
||||
"recraft_controls",
|
||||
tooltip="Optional additional controls over the generation via the Recraft Controls node.",
|
||||
optional=True,
|
||||
),
|
||||
],
|
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outputs=[
|
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IO.Image.Output(),
|
||||
],
|
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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", "n"]),
|
||||
expr="""
|
||||
(
|
||||
$prices := {"recraftv4": 0.04, "recraftv4_pro": 0.25};
|
||||
{"type":"usd","usd": $lookup($prices, widgets.model) * widgets.n}
|
||||
)
|
||||
""",
|
||||
),
|
||||
)
|
||||
|
||||
@classmethod
|
||||
async def execute(
|
||||
cls,
|
||||
prompt: str,
|
||||
negative_prompt: str,
|
||||
model: dict,
|
||||
n: int,
|
||||
seed: int,
|
||||
recraft_controls: RecraftControls | None = None,
|
||||
) -> IO.NodeOutput:
|
||||
validate_string(prompt, strip_whitespace=False, min_length=1, max_length=10000)
|
||||
response = await sync_op(
|
||||
cls,
|
||||
ApiEndpoint(path="/proxy/recraft/image_generation", method="POST"),
|
||||
response_model=RecraftImageGenerationResponse,
|
||||
data=RecraftImageGenerationRequest(
|
||||
prompt=prompt,
|
||||
negative_prompt=negative_prompt if negative_prompt else None,
|
||||
model=model["model"],
|
||||
size=model["size"],
|
||||
n=n,
|
||||
controls=recraft_controls.create_api_model() if recraft_controls else None,
|
||||
),
|
||||
max_retries=1,
|
||||
)
|
||||
images = []
|
||||
for data in response.data:
|
||||
with handle_recraft_image_output():
|
||||
image = bytesio_to_image_tensor(await download_url_as_bytesio(data.url, timeout=1024))
|
||||
if len(image.shape) < 4:
|
||||
image = image.unsqueeze(0)
|
||||
images.append(image)
|
||||
return IO.NodeOutput(torch.cat(images, dim=0))
|
||||
|
||||
|
||||
class RecraftV4TextToVectorNode(IO.ComfyNode):
|
||||
@classmethod
|
||||
def define_schema(cls):
|
||||
return IO.Schema(
|
||||
node_id="RecraftV4TextToVectorNode",
|
||||
display_name="Recraft V4 Text to Vector",
|
||||
category="api node/image/Recraft",
|
||||
description="Generates SVG using Recraft V4 or V4 Pro models.",
|
||||
inputs=[
|
||||
IO.String.Input(
|
||||
"prompt",
|
||||
multiline=True,
|
||||
tooltip="Prompt for the image generation. Maximum 10,000 characters.",
|
||||
),
|
||||
IO.String.Input(
|
||||
"negative_prompt",
|
||||
multiline=True,
|
||||
tooltip="An optional text description of undesired elements on an image.",
|
||||
),
|
||||
IO.DynamicCombo.Input(
|
||||
"model",
|
||||
options=[
|
||||
IO.DynamicCombo.Option(
|
||||
"recraftv4",
|
||||
[
|
||||
IO.Combo.Input(
|
||||
"size",
|
||||
options=RECRAFT_V4_SIZES,
|
||||
default="1024x1024",
|
||||
tooltip="The size of the generated image.",
|
||||
),
|
||||
],
|
||||
),
|
||||
IO.DynamicCombo.Option(
|
||||
"recraftv4_pro",
|
||||
[
|
||||
IO.Combo.Input(
|
||||
"size",
|
||||
options=RECRAFT_V4_PRO_SIZES,
|
||||
default="2048x2048",
|
||||
tooltip="The size of the generated image.",
|
||||
),
|
||||
],
|
||||
),
|
||||
],
|
||||
tooltip="The model to use for generation.",
|
||||
),
|
||||
IO.Int.Input(
|
||||
"n",
|
||||
default=1,
|
||||
min=1,
|
||||
max=6,
|
||||
tooltip="The number of images to generate.",
|
||||
),
|
||||
IO.Int.Input(
|
||||
"seed",
|
||||
default=0,
|
||||
min=0,
|
||||
max=0xFFFFFFFFFFFFFFFF,
|
||||
control_after_generate=True,
|
||||
tooltip="Seed to determine if node should re-run; "
|
||||
"actual results are nondeterministic regardless of seed.",
|
||||
),
|
||||
IO.Custom(RecraftIO.CONTROLS).Input(
|
||||
"recraft_controls",
|
||||
tooltip="Optional additional controls over the generation via the Recraft Controls node.",
|
||||
optional=True,
|
||||
),
|
||||
],
|
||||
outputs=[
|
||||
IO.SVG.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", "n"]),
|
||||
expr="""
|
||||
(
|
||||
$prices := {"recraftv4": 0.08, "recraftv4_pro": 0.30};
|
||||
{"type":"usd","usd": $lookup($prices, widgets.model) * widgets.n}
|
||||
)
|
||||
""",
|
||||
),
|
||||
)
|
||||
|
||||
@classmethod
|
||||
async def execute(
|
||||
cls,
|
||||
prompt: str,
|
||||
negative_prompt: str,
|
||||
model: dict,
|
||||
n: int,
|
||||
seed: int,
|
||||
recraft_controls: RecraftControls | None = None,
|
||||
) -> IO.NodeOutput:
|
||||
validate_string(prompt, strip_whitespace=False, min_length=1, max_length=10000)
|
||||
response = await sync_op(
|
||||
cls,
|
||||
ApiEndpoint(path="/proxy/recraft/image_generation", method="POST"),
|
||||
response_model=RecraftImageGenerationResponse,
|
||||
data=RecraftImageGenerationRequest(
|
||||
prompt=prompt,
|
||||
negative_prompt=negative_prompt if negative_prompt else None,
|
||||
model=model["model"],
|
||||
size=model["size"],
|
||||
n=n,
|
||||
style="vector_illustration",
|
||||
substyle=None,
|
||||
controls=recraft_controls.create_api_model() if recraft_controls else None,
|
||||
),
|
||||
max_retries=1,
|
||||
)
|
||||
svg_data = []
|
||||
for data in response.data:
|
||||
svg_data.append(await download_url_as_bytesio(data.url, timeout=1024))
|
||||
return IO.NodeOutput(SVG(svg_data))
|
||||
|
||||
|
||||
class RecraftExtension(ComfyExtension):
|
||||
@override
|
||||
async def get_node_list(self) -> list[type[IO.ComfyNode]]:
|
||||
@@ -1344,8 +1098,6 @@ class RecraftExtension(ComfyExtension):
|
||||
RecraftCreateStyleNode,
|
||||
RecraftColorRGBNode,
|
||||
RecraftControlsNode,
|
||||
RecraftV4TextToImageNode,
|
||||
RecraftV4TextToVectorNode,
|
||||
]
|
||||
|
||||
|
||||
|
||||
@@ -1,3 +1,3 @@
|
||||
# This file is automatically generated by the build process when version is
|
||||
# updated in pyproject.toml.
|
||||
__version__ = "0.14.1"
|
||||
__version__ = "0.14.0"
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
[project]
|
||||
name = "ComfyUI"
|
||||
version = "0.14.1"
|
||||
version = "0.14.0"
|
||||
readme = "README.md"
|
||||
license = { file = "LICENSE" }
|
||||
requires-python = ">=3.10"
|
||||
|
||||
@@ -1,5 +1,5 @@
|
||||
comfyui-frontend-package==1.39.14
|
||||
comfyui-workflow-templates==0.8.43
|
||||
comfyui-frontend-package==1.38.14
|
||||
comfyui-workflow-templates==0.8.42
|
||||
comfyui-embedded-docs==0.4.1
|
||||
torch
|
||||
torchsde
|
||||
|
||||
Reference in New Issue
Block a user