ComfyUI/comfy_api_nodes/nodes_recraft.py

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from __future__ import annotations
from inspect import cleandoc
from comfy.utils import ProgressBar
from comfy.comfy_types.node_typing import IO
from comfy_api_nodes.apis.recraft_api import (
RecraftImageGenerationRequest,
RecraftImageGenerationResponse,
RecraftImageSize,
RecraftModel,
RecraftStyle,
RecraftStyleV3,
RecraftColor,
RecraftColorChain,
RecraftControls,
RecraftIO,
get_v3_substyles,
)
from comfy_api_nodes.apis.client import (
ApiEndpoint,
HttpMethod,
SynchronousOperation,
EmptyRequest,
)
from comfy_api_nodes.apinode_utils import (
bytesio_to_image_tensor,
download_url_to_bytesio,
tensor_to_bytesio,
)
import folder_paths
import json
import os
import torch
from io import BytesIO
def handle_recraft_file_request(
image: torch.Tensor,
path: str,
mask: torch.Tensor=None,
total_pixels=4096*4096,
timeout=1024,
request=None,
auth_token=None
) -> list[BytesIO]:
"""
Handle sending common Recraft file-only request to get back file bytes.
"""
if request is None:
request = EmptyRequest()
files = {
'image': tensor_to_bytesio(image, total_pixels=total_pixels).read()
}
if mask is not None:
files['mask'] = tensor_to_bytesio(mask, total_pixels=total_pixels).read()
operation = SynchronousOperation(
endpoint=ApiEndpoint(
path=path,
method=HttpMethod.POST,
request_model=type(request),
response_model=RecraftImageGenerationResponse,
),
request=request,
files=files,
content_type="multipart/form-data",
auth_token=auth_token,
)
response: RecraftImageGenerationResponse = operation.execute()
all_bytesio = []
if response.image is not None:
all_bytesio.append(download_url_to_bytesio(response.image.url, timeout=timeout))
else:
for data in response.data:
all_bytesio.append(download_url_to_bytesio(data.url, timeout=timeout))
return all_bytesio
class SVG:
"""
Stores SVG representations via a list of BytesIO objects.
"""
def __init__(self, data: list[BytesIO]):
self.data = data
def combine(self, other: SVG):
return SVG(self.data + other.data)
@staticmethod
def combine_all(svgs: list[SVG]):
all_svgs = []
for svg in svgs:
all_svgs.extend(svg.data)
return SVG(all_svgs)
class SaveSVGNode:
"""
Save SVG files on disk.
"""
def __init__(self):
self.output_dir = folder_paths.get_output_directory()
self.type = "output"
self.prefix_append = ""
RETURN_TYPES = ()
DESCRIPTION = cleandoc(__doc__ or "") # Handle potential None value
FUNCTION = "save_svg"
CATEGORY = "api node/image/Recraft"
OUTPUT_NODE = True
@classmethod
def INPUT_TYPES(s):
return {
"required": {
"svg": (RecraftIO.SVG,),
"filename_prefix": ("STRING", {"default": "svg/ComfyUI", "tooltip": "The prefix for the file to save. This may include formatting information such as %date:yyyy-MM-dd% or %Empty Latent Image.width% to include values from nodes."})
},
"hidden": {
"prompt": "PROMPT",
"extra_pnginfo": "EXTRA_PNGINFO"
}
}
def save_svg(self, svg: SVG, filename_prefix="svg/ComfyUI", prompt=None, extra_pnginfo=None):
filename_prefix += self.prefix_append
full_output_folder, filename, counter, subfolder, filename_prefix = folder_paths.get_save_image_path(filename_prefix, self.output_dir)
results = list()
# Prepare metadata JSON
metadata_dict = {}
if prompt is not None:
metadata_dict["prompt"] = prompt
if extra_pnginfo is not None:
metadata_dict.update(extra_pnginfo)
# Convert metadata to JSON string
metadata_json = json.dumps(metadata_dict, indent=2) if metadata_dict else None
for batch_number, svg_bytes in enumerate(svg.data):
filename_with_batch_num = filename.replace("%batch_num%", str(batch_number))
file = f"{filename_with_batch_num}_{counter:05}_.svg"
# Read SVG content
svg_bytes.seek(0)
svg_content = svg_bytes.read().decode('utf-8')
# Inject metadata if available
if metadata_json:
# Create metadata element with CDATA section
metadata_element = f""" <metadata>
<![CDATA[
{metadata_json}
]]>
</metadata>
"""
# Insert metadata after opening svg tag using regex
import re
svg_content = re.sub(r'(<svg[^>]*>)', r'\1\n' + metadata_element, svg_content)
# Write the modified SVG to file
with open(os.path.join(full_output_folder, file), 'wb') as svg_file:
svg_file.write(svg_content.encode('utf-8'))
results.append({
"filename": file,
"subfolder": subfolder,
"type": self.type
})
counter += 1
return { "ui": { "images": results } }
class RecraftColorRGBNode:
"""
Create Recraft Color by choosing specific RGB values.
"""
RETURN_TYPES = (RecraftIO.COLOR,)
DESCRIPTION = cleandoc(__doc__ or "") # Handle potential None value
RETURN_NAMES = ("recraft_color",)
FUNCTION = "create_color"
CATEGORY = "api node/image/Recraft"
@classmethod
def INPUT_TYPES(s):
return {
"required": {
"r": (IO.INT, {
"default": 0,
"min": 0,
"max": 255,
"tooltip": "Red value of color."
}),
"g": (IO.INT, {
"default": 0,
"min": 0,
"max": 255,
"tooltip": "Green value of color."
}),
"b": (IO.INT, {
"default": 0,
"min": 0,
"max": 255,
"tooltip": "Blue value of color."
}),
},
"optional": {
"recraft_color": (RecraftIO.COLOR,),
}
}
def create_color(self, r: int, g: int, b: int, recraft_color: RecraftColorChain=None):
recraft_color = recraft_color.clone() if recraft_color else RecraftColorChain()
recraft_color.add(RecraftColor(r, g, b))
return (recraft_color, )
class RecraftControlsNode:
"""
Create Recraft Controls for customizing Recraft generation.
"""
RETURN_TYPES = (RecraftIO.CONTROLS,)
RETURN_NAMES = ("recraft_controls",)
DESCRIPTION = cleandoc(__doc__ or "") # Handle potential None value
FUNCTION = "create_controls"
CATEGORY = "api node/image/Recraft"
@classmethod
def INPUT_TYPES(s):
return {
"required": {
},
"optional": {
"colors": (RecraftIO.COLOR,),
"background_color": (RecraftIO.COLOR,),
}
}
def create_controls(self, colors: RecraftColorChain=None, background_color: RecraftColorChain=None):
return (RecraftControls(colors=colors, background_color=background_color), )
class RecraftStyleV3RealisticImageNode:
"""
Select realistic_image style and optional substyle.
"""
RETURN_TYPES = (RecraftIO.STYLEV3,)
RETURN_NAMES = ("recraft_style",)
DESCRIPTION = cleandoc(__doc__ or "") # Handle potential None value
FUNCTION = "create_style"
CATEGORY = "api node/image/Recraft"
RECRAFT_STYLE = RecraftStyleV3.realistic_image
@classmethod
def INPUT_TYPES(s):
return {
"required": {
"substyle": (get_v3_substyles(s.RECRAFT_STYLE),),
}
}
def create_style(self, substyle: str):
if substyle == "None":
substyle = None
return (RecraftStyle(self.RECRAFT_STYLE, substyle),)
class RecraftStyleV3DigitalIllustrationNode(RecraftStyleV3RealisticImageNode):
"""
Select digital_illustration style and optional substyle.
"""
RECRAFT_STYLE = RecraftStyleV3.digital_illustration
class RecraftStyleV3VectorIllustrationNode(RecraftStyleV3RealisticImageNode):
"""
Select vector_illustration style and optional substyle.
"""
RECRAFT_STYLE = RecraftStyleV3.vector_illustration
class RecraftStyleV3LogoRasterNode(RecraftStyleV3RealisticImageNode):
"""
Select vector_illustration style and optional substyle.
"""
@classmethod
def INPUT_TYPES(s):
return {
"required": {
"substyle": (get_v3_substyles(s.RECRAFT_STYLE, include_none=False),),
}
}
RECRAFT_STYLE = RecraftStyleV3.logo_raster
class RecraftTextToImageNode:
"""
Generates images synchronously based on prompt and resolution.
"""
RETURN_TYPES = (IO.IMAGE,)
DESCRIPTION = cleandoc(__doc__ or "") # Handle potential None value
FUNCTION = "api_call"
API_NODE = True
CATEGORY = "api node/image/Recraft"
@classmethod
def INPUT_TYPES(s):
return {
"required": {
"prompt": (
IO.STRING,
{
"multiline": True,
"default": "",
"tooltip": "Prompt for the image generation.",
},
),
"size": (
[res.value for res in RecraftImageSize],
{
"default": RecraftImageSize.res_1024x1024,
"tooltip": "The size of the generated image.",
},
),
"n": (
IO.INT,
{
"default": 1,
"min": 1,
"max": 6,
"tooltip": "The number of images to generate.",
},
),
"seed": (
IO.INT,
{
"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.",
},
),
},
"optional": {
"recraft_style": (RecraftIO.STYLEV3,),
"negative_prompt": (
IO.STRING,
{
"default": "",
"forceInput": True,
"tooltip": "An optional text description of undesired elements on an image.",
},
),
"recraft_controls": (
RecraftIO.CONTROLS,
{
"tooltip": "Optional additional controls over the generation via the Recraft Controls node."
},
),
},
"hidden": {
"auth_token": "AUTH_TOKEN_COMFY_ORG",
},
}
def api_call(
self,
prompt: str,
size: str,
n: int,
seed,
recraft_style: RecraftStyle = None,
negative_prompt: str = None,
recraft_controls: RecraftControls = None,
auth_token=None,
**kwargs,
):
default_style = RecraftStyle(RecraftStyleV3.realistic_image)
if recraft_style is None:
recraft_style = default_style
controls_api = None
if recraft_controls:
controls_api = recraft_controls.create_api_model()
if not negative_prompt:
negative_prompt = None
operation = SynchronousOperation(
endpoint=ApiEndpoint(
path="/proxy/recraft/image_generation",
method=HttpMethod.POST,
request_model=RecraftImageGenerationRequest,
response_model=RecraftImageGenerationResponse,
),
request=RecraftImageGenerationRequest(
prompt=prompt,
negative_prompt=negative_prompt,
model=RecraftModel.recraftv3,
size=size,
n=n,
style=recraft_style.style,
substyle=recraft_style.substyle,
style_id=recraft_style.style_id,
controls=controls_api,
),
auth_token=auth_token,
)
response: RecraftImageGenerationResponse = operation.execute()
images = []
for data in response.data:
image = bytesio_to_image_tensor(
download_url_to_bytesio(data.url, timeout=1024)
)
if len(image.shape) < 4:
image = image.unsqueeze(0)
images.append(image)
output_image = torch.cat(images, dim=0)
return (output_image,)
class RecraftImageToImageNode:
"""
Modify image based on prompt and strength.
"""
RETURN_TYPES = (IO.IMAGE,)
DESCRIPTION = cleandoc(__doc__ or "") # Handle potential None value
FUNCTION = "api_call"
API_NODE = True
CATEGORY = "api node/image/Recraft"
@classmethod
def INPUT_TYPES(s):
return {
"required": {
"image": (IO.IMAGE, ),
"prompt": (
IO.STRING,
{
"multiline": True,
"default": "",
"tooltip": "Prompt for the image generation.",
},
),
"n": (
IO.INT,
{
"default": 1,
"min": 1,
"max": 6,
"tooltip": "The number of images to generate.",
},
),
"strength": (
IO.FLOAT,
{
"default": 0.5,
"min": 0.0,
"max": 1.0,
"step": 0.01,
"tooltip": "Defines the difference with the original image, should lie in [0, 1], where 0 means almost identical, and 1 means miserable similarity."
}
),
"seed": (
IO.INT,
{
"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.",
},
),
},
"optional": {
"recraft_style": (RecraftIO.STYLEV3,),
"negative_prompt": (
IO.STRING,
{
"default": "",
"forceInput": True,
"tooltip": "An optional text description of undesired elements on an image.",
},
),
"recraft_controls": (
RecraftIO.CONTROLS,
{
"tooltip": "Optional additional controls over the generation via the Recraft Controls node."
},
),
},
"hidden": {
"auth_token": "AUTH_TOKEN_COMFY_ORG",
},
}
def api_call(
self,
image: torch.Tensor,
prompt: str,
n: int,
strength: float,
seed,
auth_token=None,
recraft_style: RecraftStyle = None,
negative_prompt: str = None,
recraft_controls: RecraftControls = None,
**kwargs,
):
default_style = RecraftStyle(RecraftStyleV3.realistic_image)
if recraft_style is None:
recraft_style = default_style
controls_api = None
if recraft_controls:
controls_api = recraft_controls.create_api_model()
if not negative_prompt:
negative_prompt = None
request = RecraftImageGenerationRequest(
prompt=prompt,
negative_prompt=negative_prompt,
model=RecraftModel.recraftv3,
n=n,
strength=round(strength, 2),
style=recraft_style.style,
substyle=recraft_style.substyle,
style_id=recraft_style.style_id,
controls=controls_api,
)
images = []
total = image.shape[0]
pbar = ProgressBar(total)
for i in range(total):
sub_bytes = handle_recraft_file_request(
image=image[i],
path="/proxy/recraft/images/imageToImage",
request=request,
auth_token=auth_token,
)
images.append(torch.cat([bytesio_to_image_tensor(x) for x in sub_bytes], dim=0))
pbar.update(1)
images_tensor = torch.cat(images, dim=0)
return (images_tensor, )
class RecraftImageInpaintingNode:
"""
Modify image based on prompt and mask.
"""
RETURN_TYPES = (IO.IMAGE,)
DESCRIPTION = cleandoc(__doc__ or "") # Handle potential None value
FUNCTION = "api_call"
API_NODE = True
CATEGORY = "api node/image/Recraft"
@classmethod
def INPUT_TYPES(s):
return {
"required": {
"image": (IO.IMAGE, ),
"mask": (IO.MASK, ),
"prompt": (
IO.STRING,
{
"multiline": True,
"default": "",
"tooltip": "Prompt for the image generation.",
},
),
"n": (
IO.INT,
{
"default": 1,
"min": 1,
"max": 6,
"tooltip": "The number of images to generate.",
},
),
"seed": (
IO.INT,
{
"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.",
},
),
},
"optional": {
"recraft_style": (RecraftIO.STYLEV3,),
"negative_prompt": (
IO.STRING,
{
"default": "",
"forceInput": True,
"tooltip": "An optional text description of undesired elements on an image.",
},
),
},
"hidden": {
"auth_token": "AUTH_TOKEN_COMFY_ORG",
},
}
def api_call(
self,
image: torch.Tensor,
mask: torch.Tensor,
prompt: str,
n: int,
seed,
auth_token=None,
recraft_style: RecraftStyle = None,
negative_prompt: str = None,
**kwargs,
):
default_style = RecraftStyle(RecraftStyleV3.realistic_image)
if recraft_style is None:
recraft_style = default_style
if not negative_prompt:
negative_prompt = None
request = RecraftImageGenerationRequest(
prompt=prompt,
negative_prompt=negative_prompt,
model=RecraftModel.recraftv3,
n=n,
style=recraft_style.style,
substyle=recraft_style.substyle,
style_id=recraft_style.style_id,
)
images = []
total = image.shape[0]
pbar = ProgressBar(total)
for i in range(total):
sub_bytes = handle_recraft_file_request(
image=image[i],
mask=mask[i:i+1],
path="/proxy/recraft/images/imageInpainting",
request=request,
auth_token=auth_token,
)
images.append(torch.cat([bytesio_to_image_tensor(x) for x in sub_bytes], dim=0))
pbar.update(1)
images_tensor = torch.cat(images, dim=0)
return (images_tensor, )
class RecraftTextToVectorNode:
"""
Generates SVG synchronously based on prompt and resolution.
"""
RETURN_TYPES = (RecraftIO.SVG,)
DESCRIPTION = cleandoc(__doc__ or "") # Handle potential None value
FUNCTION = "api_call"
API_NODE = True
CATEGORY = "api node/image/Recraft"
@classmethod
def INPUT_TYPES(s):
return {
"required": {
"prompt": (
IO.STRING,
{
"multiline": True,
"default": "",
"tooltip": "Prompt for the image generation.",
},
),
"substyle": (get_v3_substyles(RecraftStyleV3.vector_illustration),),
"size": (
[res.value for res in RecraftImageSize],
{
"default": RecraftImageSize.res_1024x1024,
"tooltip": "The size of the generated image.",
},
),
"n": (
IO.INT,
{
"default": 1,
"min": 1,
"max": 6,
"tooltip": "The number of images to generate.",
},
),
"seed": (
IO.INT,
{
"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.",
},
),
},
"optional": {
"negative_prompt": (
IO.STRING,
{
"default": "",
"forceInput": True,
"tooltip": "An optional text description of undesired elements on an image.",
},
),
"recraft_controls": (
RecraftIO.CONTROLS,
{
"tooltip": "Optional additional controls over the generation via the Recraft Controls node."
},
),
},
"hidden": {
"auth_token": "AUTH_TOKEN_COMFY_ORG",
},
}
def api_call(
self,
prompt: str,
substyle: str,
size: str,
n: int,
seed,
negative_prompt: str = None,
recraft_controls: RecraftControls = None,
auth_token=None,
**kwargs,
):
# create RecraftStyle so strings will be formatted properly (i.e. "None" will become None)
recraft_style = RecraftStyle(RecraftStyleV3.vector_illustration, substyle=substyle)
controls_api = None
if recraft_controls:
controls_api = recraft_controls.create_api_model()
if not negative_prompt:
negative_prompt = None
operation = SynchronousOperation(
endpoint=ApiEndpoint(
path="/proxy/recraft/image_generation",
method=HttpMethod.POST,
request_model=RecraftImageGenerationRequest,
response_model=RecraftImageGenerationResponse,
),
request=RecraftImageGenerationRequest(
prompt=prompt,
negative_prompt=negative_prompt,
model=RecraftModel.recraftv3,
size=size,
n=n,
style=recraft_style.style,
substyle=recraft_style.substyle,
controls=controls_api,
),
auth_token=auth_token,
)
response: RecraftImageGenerationResponse = operation.execute()
svg_data = []
for data in response.data:
svg_data.append(download_url_to_bytesio(data.url, timeout=1024))
return (SVG(svg_data),)
class RecraftVectorizeImageNode:
"""
Generates SVG synchronously from an input image.
"""
RETURN_TYPES = (RecraftIO.SVG,)
DESCRIPTION = cleandoc(__doc__ or "") # Handle potential None value
FUNCTION = "api_call"
API_NODE = True
CATEGORY = "api node/image/Recraft"
@classmethod
def INPUT_TYPES(s):
return {
"required": {
"image": (IO.IMAGE, ),
},
"optional": {
},
"hidden": {
"auth_token": "AUTH_TOKEN_COMFY_ORG",
},
}
def api_call(
self,
image: torch.Tensor,
auth_token=None,
**kwargs,
):
svgs = []
total = image.shape[0]
pbar = ProgressBar(total)
for i in range(total):
sub_bytes = handle_recraft_file_request(
image=image[i],
path="/proxy/recraft/images/vectorize",
auth_token=auth_token,
)
svgs.append(SVG(sub_bytes))
pbar.update(1)
return (SVG.combine_all(svgs), )
class RecraftReplaceBackgroundNode:
"""
Replace background on image, based on provided prompt.
"""
RETURN_TYPES = (IO.IMAGE,)
DESCRIPTION = cleandoc(__doc__ or "") # Handle potential None value
FUNCTION = "api_call"
API_NODE = True
CATEGORY = "api node/image/Recraft"
@classmethod
def INPUT_TYPES(s):
return {
"required": {
"image": (IO.IMAGE, ),
"prompt": (
IO.STRING,
{
"multiline": True,
"default": "",
"tooltip": "Prompt for the image generation.",
},
),
"n": (
IO.INT,
{
"default": 1,
"min": 1,
"max": 6,
"tooltip": "The number of images to generate.",
},
),
"seed": (
IO.INT,
{
"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.",
},
),
},
"optional": {
"recraft_style": (RecraftIO.STYLEV3,),
"negative_prompt": (
IO.STRING,
{
"default": "",
"forceInput": True,
"tooltip": "An optional text description of undesired elements on an image.",
},
),
},
"hidden": {
"auth_token": "AUTH_TOKEN_COMFY_ORG",
},
}
def api_call(
self,
image: torch.Tensor,
prompt: str,
n: int,
seed,
auth_token=None,
recraft_style: RecraftStyle = None,
negative_prompt: str = None,
**kwargs,
):
default_style = RecraftStyle(RecraftStyleV3.realistic_image)
if recraft_style is None:
recraft_style = default_style
if not negative_prompt:
negative_prompt = None
request = RecraftImageGenerationRequest(
prompt=prompt,
negative_prompt=negative_prompt,
model=RecraftModel.recraftv3,
n=n,
style=recraft_style.style,
substyle=recraft_style.substyle,
style_id=recraft_style.style_id,
)
images = []
total = image.shape[0]
pbar = ProgressBar(total)
for i in range(total):
sub_bytes = handle_recraft_file_request(
image=image[i],
path="/proxy/recraft/images/replaceBackground",
request=request,
auth_token=auth_token,
)
images.append(torch.cat([bytesio_to_image_tensor(x) for x in sub_bytes], dim=0))
pbar.update(1)
images_tensor = torch.cat(images, dim=0)
return (images_tensor, )
class RecraftRemoveBackgroundNode:
"""
Remove background from image, and return processed image and mask.
"""
RETURN_TYPES = (IO.IMAGE, IO.MASK)
DESCRIPTION = cleandoc(__doc__ or "") # Handle potential None value
FUNCTION = "api_call"
API_NODE = True
CATEGORY = "api node/image/Recraft"
@classmethod
def INPUT_TYPES(s):
return {
"required": {
"image": (IO.IMAGE, ),
},
"optional": {
},
"hidden": {
"auth_token": "AUTH_TOKEN_COMFY_ORG",
},
}
def api_call(
self,
image: torch.Tensor,
auth_token=None,
**kwargs,
):
images = []
total = image.shape[0]
pbar = ProgressBar(total)
for i in range(total):
sub_bytes = handle_recraft_file_request(
image=image[i],
path="/proxy/recraft/images/removeBackground",
auth_token=auth_token,
)
images.append(torch.cat([bytesio_to_image_tensor(x) for x in sub_bytes], dim=0))
pbar.update(1)
images_tensor = torch.cat(images, dim=0)
# use alpha channel as masks, in B,H,W format
masks_tensor = images_tensor[:,:,:,-1:].squeeze(-1)
return (images_tensor, masks_tensor)
class RecraftCrispUpscaleNode:
"""
Upscale image synchronously.
Enhances a given raster image using crisp upscale tool, increasing image resolution, making the image sharper and cleaner.
"""
RETURN_TYPES = (IO.IMAGE,)
DESCRIPTION = cleandoc(__doc__ or "") # Handle potential None value
FUNCTION = "api_call"
API_NODE = True
CATEGORY = "api node/image/Recraft"
RECRAFT_PATH = "/proxy/recraft/images/crispUpscale"
@classmethod
def INPUT_TYPES(s):
return {
"required": {
"image": (IO.IMAGE, ),
},
"optional": {
},
"hidden": {
"auth_token": "AUTH_TOKEN_COMFY_ORG",
},
}
def api_call(
self,
image: torch.Tensor,
auth_token=None,
**kwargs,
):
images = []
total = image.shape[0]
pbar = ProgressBar(total)
for i in range(total):
sub_bytes = handle_recraft_file_request(
image=image[i],
path=self.RECRAFT_PATH,
auth_token=auth_token,
)
images.append(torch.cat([bytesio_to_image_tensor(x) for x in sub_bytes], dim=0))
pbar.update(1)
images_tensor = torch.cat(images, dim=0)
return (images_tensor,)
class RecraftCreativeUpscaleNode(RecraftCrispUpscaleNode):
"""
Upscale image synchronously.
Enhances a given raster image using creative upscale tool, boosting resolution with a focus on refining small details and faces.
"""
RETURN_TYPES = (IO.IMAGE,)
DESCRIPTION = cleandoc(__doc__ or "") # Handle potential None value
FUNCTION = "api_call"
API_NODE = True
CATEGORY = "api node/image/Recraft"
RECRAFT_PATH = "/proxy/recraft/images/creativeUpscale"
# A dictionary that contains all nodes you want to export with their names
# NOTE: names should be globally unique
NODE_CLASS_MAPPINGS = {
"RecraftTextToImageNode": RecraftTextToImageNode,
# "RecraftImageToImageNode": RecraftImageToImageNode,
# "RecraftImageInpaintingNode": RecraftImageInpaintingNode,
"RecraftTextToVectorNode": RecraftTextToVectorNode,
"RecraftVectorizeImageNode": RecraftVectorizeImageNode,
"RecraftRemoveBackgroundNode": RecraftRemoveBackgroundNode,
# "RecraftReplaceBackgroundNode": RecraftReplaceBackgroundNode,
"RecraftCrispUpscaleNode": RecraftCrispUpscaleNode,
# "RecraftCreativeUpscaleNode": RecraftCreativeUpscaleNode,
"RecraftStyleV3RealisticImage": RecraftStyleV3RealisticImageNode,
"RecraftStyleV3DigitalIllustration": RecraftStyleV3DigitalIllustrationNode,
"RecraftStyleV3LogoRaster": RecraftStyleV3LogoRasterNode,
"RecraftColorRGB": RecraftColorRGBNode,
"RecraftControls": RecraftControlsNode,
"SaveSVG": SaveSVGNode,
}
# A dictionary that contains the friendly/humanly readable titles for the nodes
NODE_DISPLAY_NAME_MAPPINGS = {
"RecraftTextToImageNode": "Recraft Text to Image",
# "RecraftImageToImageNode": "Recraft Image to Image",
# "RecraftImageInpaintingNode": "Recraft Image Inpainting",
"RecraftTextToVectorNode": "Recraft Text to Vector",
"RecraftVectorizeImageNode": "Recraft Vectorize Image",
"RecraftRemoveBackgroundNode": "Recraft Remove Background",
# "RecraftReplaceBackgroundNode": "Recraft Replace Background",
"RecraftCrispUpscaleNode": "Recraft Crisp Upscale Image",
# "RecraftCreativeUpscaleNode": "Recraft Creative Upscale Image",
"RecraftStyleV3RealisticImage": "Recraft Style - Realistic Image",
"RecraftStyleV3DigitalIllustration": "Recraft Style - Digital Illustration",
"RecraftStyleV3LogoRaster": "Recraft Style - Logo Raster",
"RecraftColorRGB": "Recraft Color RGB",
"RecraftControls": "Recraft Controls",
"SaveSVG": "Save SVG",
}