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ComfyUI/comfy_api_nodes/nodes_ideogram.py
Alexander Piskun 50333f1715 api nodes(Ideogram): add Ideogram Character (#9616) 
* api nodes(Ideogram): add Ideogram Character

* rename renderingSpeed default value from 'balanced' to 'default'
2025-09-03 16:17:37 -04:00

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from io import BytesIO
from typing_extensions import override
from comfy_api.latest import ComfyExtension, io as comfy_io
from PIL import Image
import numpy as np
import torch
from comfy_api_nodes.apis import (
IdeogramGenerateRequest,
IdeogramGenerateResponse,
ImageRequest,
IdeogramV3Request,
IdeogramV3EditRequest,
)
from comfy_api_nodes.apis.client import (
ApiEndpoint,
HttpMethod,
SynchronousOperation,
)
from comfy_api_nodes.apinode_utils import (
download_url_to_bytesio,
bytesio_to_image_tensor,
resize_mask_to_image,
)
from server import PromptServer
V1_V1_RES_MAP = {
"Auto":"AUTO",
"512 x 1536":"RESOLUTION_512_1536",
"576 x 1408":"RESOLUTION_576_1408",
"576 x 1472":"RESOLUTION_576_1472",
"576 x 1536":"RESOLUTION_576_1536",
"640 x 1024":"RESOLUTION_640_1024",
"640 x 1344":"RESOLUTION_640_1344",
"640 x 1408":"RESOLUTION_640_1408",
"640 x 1472":"RESOLUTION_640_1472",
"640 x 1536":"RESOLUTION_640_1536",
"704 x 1152":"RESOLUTION_704_1152",
"704 x 1216":"RESOLUTION_704_1216",
"704 x 1280":"RESOLUTION_704_1280",
"704 x 1344":"RESOLUTION_704_1344",
"704 x 1408":"RESOLUTION_704_1408",
"704 x 1472":"RESOLUTION_704_1472",
"720 x 1280":"RESOLUTION_720_1280",
"736 x 1312":"RESOLUTION_736_1312",
"768 x 1024":"RESOLUTION_768_1024",
"768 x 1088":"RESOLUTION_768_1088",
"768 x 1152":"RESOLUTION_768_1152",
"768 x 1216":"RESOLUTION_768_1216",
"768 x 1232":"RESOLUTION_768_1232",
"768 x 1280":"RESOLUTION_768_1280",
"768 x 1344":"RESOLUTION_768_1344",
"832 x 960":"RESOLUTION_832_960",
"832 x 1024":"RESOLUTION_832_1024",
"832 x 1088":"RESOLUTION_832_1088",
"832 x 1152":"RESOLUTION_832_1152",
"832 x 1216":"RESOLUTION_832_1216",
"832 x 1248":"RESOLUTION_832_1248",
"864 x 1152":"RESOLUTION_864_1152",
"896 x 960":"RESOLUTION_896_960",
"896 x 1024":"RESOLUTION_896_1024",
"896 x 1088":"RESOLUTION_896_1088",
"896 x 1120":"RESOLUTION_896_1120",
"896 x 1152":"RESOLUTION_896_1152",
"960 x 832":"RESOLUTION_960_832",
"960 x 896":"RESOLUTION_960_896",
"960 x 1024":"RESOLUTION_960_1024",
"960 x 1088":"RESOLUTION_960_1088",
"1024 x 640":"RESOLUTION_1024_640",
"1024 x 768":"RESOLUTION_1024_768",
"1024 x 832":"RESOLUTION_1024_832",
"1024 x 896":"RESOLUTION_1024_896",
"1024 x 960":"RESOLUTION_1024_960",
"1024 x 1024":"RESOLUTION_1024_1024",
"1088 x 768":"RESOLUTION_1088_768",
"1088 x 832":"RESOLUTION_1088_832",
"1088 x 896":"RESOLUTION_1088_896",
"1088 x 960":"RESOLUTION_1088_960",
"1120 x 896":"RESOLUTION_1120_896",
"1152 x 704":"RESOLUTION_1152_704",
"1152 x 768":"RESOLUTION_1152_768",
"1152 x 832":"RESOLUTION_1152_832",
"1152 x 864":"RESOLUTION_1152_864",
"1152 x 896":"RESOLUTION_1152_896",
"1216 x 704":"RESOLUTION_1216_704",
"1216 x 768":"RESOLUTION_1216_768",
"1216 x 832":"RESOLUTION_1216_832",
"1232 x 768":"RESOLUTION_1232_768",
"1248 x 832":"RESOLUTION_1248_832",
"1280 x 704":"RESOLUTION_1280_704",
"1280 x 720":"RESOLUTION_1280_720",
"1280 x 768":"RESOLUTION_1280_768",
"1280 x 800":"RESOLUTION_1280_800",
"1312 x 736":"RESOLUTION_1312_736",
"1344 x 640":"RESOLUTION_1344_640",
"1344 x 704":"RESOLUTION_1344_704",
"1344 x 768":"RESOLUTION_1344_768",
"1408 x 576":"RESOLUTION_1408_576",
"1408 x 640":"RESOLUTION_1408_640",
"1408 x 704":"RESOLUTION_1408_704",
"1472 x 576":"RESOLUTION_1472_576",
"1472 x 640":"RESOLUTION_1472_640",
"1472 x 704":"RESOLUTION_1472_704",
"1536 x 512":"RESOLUTION_1536_512",
"1536 x 576":"RESOLUTION_1536_576",
"1536 x 640":"RESOLUTION_1536_640",
}
V1_V2_RATIO_MAP = {
"1:1":"ASPECT_1_1",
"4:3":"ASPECT_4_3",
"3:4":"ASPECT_3_4",
"16:9":"ASPECT_16_9",
"9:16":"ASPECT_9_16",
"2:1":"ASPECT_2_1",
"1:2":"ASPECT_1_2",
"3:2":"ASPECT_3_2",
"2:3":"ASPECT_2_3",
"4:5":"ASPECT_4_5",
"5:4":"ASPECT_5_4",
}
V3_RATIO_MAP = {
"1:3":"1x3",
"3:1":"3x1",
"1:2":"1x2",
"2:1":"2x1",
"9:16":"9x16",
"16:9":"16x9",
"10:16":"10x16",
"16:10":"16x10",
"2:3":"2x3",
"3:2":"3x2",
"3:4":"3x4",
"4:3":"4x3",
"4:5":"4x5",
"5:4":"5x4",
"1:1":"1x1",
}
V3_RESOLUTIONS= [
"Auto",
"512x1536",
"576x1408",
"576x1472",
"576x1536",
"640x1344",
"640x1408",
"640x1472",
"640x1536",
"704x1152",
"704x1216",
"704x1280",
"704x1344",
"704x1408",
"704x1472",
"736x1312",
"768x1088",
"768x1216",
"768x1280",
"768x1344",
"800x1280",
"832x960",
"832x1024",
"832x1088",
"832x1152",
"832x1216",
"832x1248",
"864x1152",
"896x960",
"896x1024",
"896x1088",
"896x1120",
"896x1152",
"960x832",
"960x896",
"960x1024",
"960x1088",
"1024x832",
"1024x896",
"1024x960",
"1024x1024",
"1088x768",
"1088x832",
"1088x896",
"1088x960",
"1120x896",
"1152x704",
"1152x832",
"1152x864",
"1152x896",
"1216x704",
"1216x768",
"1216x832",
"1248x832",
"1280x704",
"1280x768",
"1280x800",
"1312x736",
"1344x640",
"1344x704",
"1344x768",
"1408x576",
"1408x640",
"1408x704",
"1472x576",
"1472x640",
"1472x704",
"1536x512",
"1536x576",
"1536x640"
]
async def download_and_process_images(image_urls):
"""Helper function to download and process multiple images from URLs"""
# Initialize list to store image tensors
image_tensors = []
for image_url in image_urls:
# Using functions from apinode_utils.py to handle downloading and processing
image_bytesio = await download_url_to_bytesio(image_url) # Download image content to BytesIO
img_tensor = bytesio_to_image_tensor(image_bytesio, mode="RGB") # Convert to torch.Tensor with RGB mode
image_tensors.append(img_tensor)
# Stack tensors to match (N, width, height, channels)
if image_tensors:
stacked_tensors = torch.cat(image_tensors, dim=0)
else:
raise Exception("No valid images were processed")
return stacked_tensors
def display_image_urls_on_node(image_urls, node_id):
if node_id and image_urls:
if len(image_urls) == 1:
PromptServer.instance.send_progress_text(
f"Generated Image URL:\n{image_urls[0]}", node_id
)
else:
urls_text = "Generated Image URLs:\n" + "\n".join(
f"{i+1}. {url}" for i, url in enumerate(image_urls)
)
PromptServer.instance.send_progress_text(urls_text, node_id)
class IdeogramV1(comfy_io.ComfyNode):
@classmethod
def define_schema(cls):
return comfy_io.Schema(
node_id="IdeogramV1",
display_name="Ideogram V1",
category="api node/image/Ideogram",
description="Generates images using the Ideogram V1 model.",
is_api_node=True,
inputs=[
comfy_io.String.Input(
"prompt",
multiline=True,
default="",
tooltip="Prompt for the image generation",
),
comfy_io.Boolean.Input(
"turbo",
default=False,
tooltip="Whether to use turbo mode (faster generation, potentially lower quality)",
),
comfy_io.Combo.Input(
"aspect_ratio",
options=list(V1_V2_RATIO_MAP.keys()),
default="1:1",
tooltip="The aspect ratio for image generation.",
optional=True,
),
comfy_io.Combo.Input(
"magic_prompt_option",
options=["AUTO", "ON", "OFF"],
default="AUTO",
tooltip="Determine if MagicPrompt should be used in generation",
optional=True,
),
comfy_io.Int.Input(
"seed",
default=0,
min=0,
max=2147483647,
step=1,
control_after_generate=True,
display_mode=comfy_io.NumberDisplay.number,
optional=True,
),
comfy_io.String.Input(
"negative_prompt",
multiline=True,
default="",
tooltip="Description of what to exclude from the image",
optional=True,
),
comfy_io.Int.Input(
"num_images",
default=1,
min=1,
max=8,
step=1,
display_mode=comfy_io.NumberDisplay.number,
optional=True,
),
],
outputs=[
comfy_io.Image.Output(),
],
hidden=[
comfy_io.Hidden.auth_token_comfy_org,
comfy_io.Hidden.api_key_comfy_org,
comfy_io.Hidden.unique_id,
],
)
@classmethod
async def execute(
cls,
prompt,
turbo=False,
aspect_ratio="1:1",
magic_prompt_option="AUTO",
seed=0,
negative_prompt="",
num_images=1,
):
# Determine the model based on turbo setting
aspect_ratio = V1_V2_RATIO_MAP.get(aspect_ratio, None)
model = "V_1_TURBO" if turbo else "V_1"
auth = {
"auth_token": cls.hidden.auth_token_comfy_org,
"comfy_api_key": cls.hidden.api_key_comfy_org,
}
operation = SynchronousOperation(
endpoint=ApiEndpoint(
path="/proxy/ideogram/generate",
method=HttpMethod.POST,
request_model=IdeogramGenerateRequest,
response_model=IdeogramGenerateResponse,
),
request=IdeogramGenerateRequest(
image_request=ImageRequest(
prompt=prompt,
model=model,
num_images=num_images,
seed=seed,
aspect_ratio=aspect_ratio if aspect_ratio != "ASPECT_1_1" else None,
magic_prompt_option=(
magic_prompt_option if magic_prompt_option != "AUTO" else None
),
negative_prompt=negative_prompt if negative_prompt else None,
)
),
auth_kwargs=auth,
)
response = await operation.execute()
if not response.data or len(response.data) == 0:
raise Exception("No images were generated in the response")
image_urls = [image_data.url for image_data in response.data if image_data.url]
if not image_urls:
raise Exception("No image URLs were generated in the response")
display_image_urls_on_node(image_urls, cls.hidden.unique_id)
return comfy_io.NodeOutput(await download_and_process_images(image_urls))
class IdeogramV2(comfy_io.ComfyNode):
@classmethod
def define_schema(cls):
return comfy_io.Schema(
node_id="IdeogramV2",
display_name="Ideogram V2",
category="api node/image/Ideogram",
description="Generates images using the Ideogram V2 model.",
is_api_node=True,
inputs=[
comfy_io.String.Input(
"prompt",
multiline=True,
default="",
tooltip="Prompt for the image generation",
),
comfy_io.Boolean.Input(
"turbo",
default=False,
tooltip="Whether to use turbo mode (faster generation, potentially lower quality)",
),
comfy_io.Combo.Input(
"aspect_ratio",
options=list(V1_V2_RATIO_MAP.keys()),
default="1:1",
tooltip="The aspect ratio for image generation. Ignored if resolution is not set to AUTO.",
optional=True,
),
comfy_io.Combo.Input(
"resolution",
options=list(V1_V1_RES_MAP.keys()),
default="Auto",
tooltip="The resolution for image generation. "
"If not set to AUTO, this overrides the aspect_ratio setting.",
optional=True,
),
comfy_io.Combo.Input(
"magic_prompt_option",
options=["AUTO", "ON", "OFF"],
default="AUTO",
tooltip="Determine if MagicPrompt should be used in generation",
optional=True,
),
comfy_io.Int.Input(
"seed",
default=0,
min=0,
max=2147483647,
step=1,
control_after_generate=True,
display_mode=comfy_io.NumberDisplay.number,
optional=True,
),
comfy_io.Combo.Input(
"style_type",
options=["AUTO", "GENERAL", "REALISTIC", "DESIGN", "RENDER_3D", "ANIME"],
default="NONE",
tooltip="Style type for generation (V2 only)",
optional=True,
),
comfy_io.String.Input(
"negative_prompt",
multiline=True,
default="",
tooltip="Description of what to exclude from the image",
optional=True,
),
comfy_io.Int.Input(
"num_images",
default=1,
min=1,
max=8,
step=1,
display_mode=comfy_io.NumberDisplay.number,
optional=True,
),
#"color_palette": (
# IO.STRING,
# {
# "multiline": False,
# "default": "",
# "tooltip": "Color palette preset name or hex colors with weights",
# },
#),
],
outputs=[
comfy_io.Image.Output(),
],
hidden=[
comfy_io.Hidden.auth_token_comfy_org,
comfy_io.Hidden.api_key_comfy_org,
comfy_io.Hidden.unique_id,
],
)
@classmethod
async def execute(
cls,
prompt,
turbo=False,
aspect_ratio="1:1",
resolution="Auto",
magic_prompt_option="AUTO",
seed=0,
style_type="NONE",
negative_prompt="",
num_images=1,
color_palette="",
):
aspect_ratio = V1_V2_RATIO_MAP.get(aspect_ratio, None)
resolution = V1_V1_RES_MAP.get(resolution, None)
# Determine the model based on turbo setting
model = "V_2_TURBO" if turbo else "V_2"
# Handle resolution vs aspect_ratio logic
# If resolution is not AUTO, it overrides aspect_ratio
final_resolution = None
final_aspect_ratio = None
if resolution != "AUTO":
final_resolution = resolution
else:
final_aspect_ratio = aspect_ratio if aspect_ratio != "ASPECT_1_1" else None
auth = {
"auth_token": cls.hidden.auth_token_comfy_org,
"comfy_api_key": cls.hidden.api_key_comfy_org,
}
operation = SynchronousOperation(
endpoint=ApiEndpoint(
path="/proxy/ideogram/generate",
method=HttpMethod.POST,
request_model=IdeogramGenerateRequest,
response_model=IdeogramGenerateResponse,
),
request=IdeogramGenerateRequest(
image_request=ImageRequest(
prompt=prompt,
model=model,
num_images=num_images,
seed=seed,
aspect_ratio=final_aspect_ratio,
resolution=final_resolution,
magic_prompt_option=(
magic_prompt_option if magic_prompt_option != "AUTO" else None
),
style_type=style_type if style_type != "NONE" else None,
negative_prompt=negative_prompt if negative_prompt else None,
color_palette=color_palette if color_palette else None,
)
),
auth_kwargs=auth,
)
response = await operation.execute()
if not response.data or len(response.data) == 0:
raise Exception("No images were generated in the response")
image_urls = [image_data.url for image_data in response.data if image_data.url]
if not image_urls:
raise Exception("No image URLs were generated in the response")
display_image_urls_on_node(image_urls, cls.hidden.unique_id)
return comfy_io.NodeOutput(await download_and_process_images(image_urls))
class IdeogramV3(comfy_io.ComfyNode):
@classmethod
def define_schema(cls):
return comfy_io.Schema(
node_id="IdeogramV3",
display_name="Ideogram V3",
category="api node/image/Ideogram",
description="Generates images using the Ideogram V3 model. "
"Supports both regular image generation from text prompts and image editing with mask.",
is_api_node=True,
inputs=[
comfy_io.String.Input(
"prompt",
multiline=True,
default="",
tooltip="Prompt for the image generation or editing",
),
comfy_io.Image.Input(
"image",
tooltip="Optional reference image for image editing.",
optional=True,
),
comfy_io.Mask.Input(
"mask",
tooltip="Optional mask for inpainting (white areas will be replaced)",
optional=True,
),
comfy_io.Combo.Input(
"aspect_ratio",
options=list(V3_RATIO_MAP.keys()),
default="1:1",
tooltip="The aspect ratio for image generation. Ignored if resolution is not set to Auto.",
optional=True,
),
comfy_io.Combo.Input(
"resolution",
options=V3_RESOLUTIONS,
default="Auto",
tooltip="The resolution for image generation. "
"If not set to Auto, this overrides the aspect_ratio setting.",
optional=True,
),
comfy_io.Combo.Input(
"magic_prompt_option",
options=["AUTO", "ON", "OFF"],
default="AUTO",
tooltip="Determine if MagicPrompt should be used in generation",
optional=True,
),
comfy_io.Int.Input(
"seed",
default=0,
min=0,
max=2147483647,
step=1,
control_after_generate=True,
display_mode=comfy_io.NumberDisplay.number,
optional=True,
),
comfy_io.Int.Input(
"num_images",
default=1,
min=1,
max=8,
step=1,
display_mode=comfy_io.NumberDisplay.number,
optional=True,
),
comfy_io.Combo.Input(
"rendering_speed",
options=["DEFAULT", "TURBO", "QUALITY"],
default="DEFAULT",
tooltip="Controls the trade-off between generation speed and quality",
optional=True,
),
comfy_io.Image.Input(
"character_image",
tooltip="Image to use as character reference.",
optional=True,
),
comfy_io.Mask.Input(
"character_mask",
tooltip="Optional mask for character reference image.",
optional=True,
),
],
outputs=[
comfy_io.Image.Output(),
],
hidden=[
comfy_io.Hidden.auth_token_comfy_org,
comfy_io.Hidden.api_key_comfy_org,
comfy_io.Hidden.unique_id,
],
)
@classmethod
async def execute(
cls,
prompt,
image=None,
mask=None,
resolution="Auto",
aspect_ratio="1:1",
magic_prompt_option="AUTO",
seed=0,
num_images=1,
rendering_speed="DEFAULT",
character_image=None,
character_mask=None,
):
auth = {
"auth_token": cls.hidden.auth_token_comfy_org,
"comfy_api_key": cls.hidden.api_key_comfy_org,
}
if rendering_speed == "BALANCED": # for backward compatibility
rendering_speed = "DEFAULT"
character_img_binary = None
character_mask_binary = None
if character_image is not None:
input_tensor = character_image.squeeze().cpu()
if character_mask is not None:
character_mask = resize_mask_to_image(character_mask, character_image, allow_gradient=False)
character_mask = 1.0 - character_mask
if character_mask.shape[1:] != character_image.shape[1:-1]:
raise Exception("Character mask and image must be the same size")
mask_np = (character_mask.squeeze().cpu().numpy() * 255).astype(np.uint8)
mask_img = Image.fromarray(mask_np)
mask_byte_arr = BytesIO()
mask_img.save(mask_byte_arr, format="PNG")
mask_byte_arr.seek(0)
character_mask_binary = mask_byte_arr
character_mask_binary.name = "mask.png"
img_np = (input_tensor.numpy() * 255).astype(np.uint8)
img = Image.fromarray(img_np)
img_byte_arr = BytesIO()
img.save(img_byte_arr, format="PNG")
img_byte_arr.seek(0)
character_img_binary = img_byte_arr
character_img_binary.name = "image.png"
elif character_mask is not None:
raise Exception("Character mask requires character image to be present")
# Check if both image and mask are provided for editing mode
if image is not None and mask is not None:
# Edit mode
path = "/proxy/ideogram/ideogram-v3/edit"
# Process image and mask
input_tensor = image.squeeze().cpu()
# Resize mask to match image dimension
mask = resize_mask_to_image(mask, image, allow_gradient=False)
# Invert mask, as Ideogram API will edit black areas instead of white areas (opposite of convention).
mask = 1.0 - mask
# Validate mask dimensions match image
if mask.shape[1:] != image.shape[1:-1]:
raise Exception("Mask and Image must be the same size")
# Process image
img_np = (input_tensor.numpy() * 255).astype(np.uint8)
img = Image.fromarray(img_np)
img_byte_arr = BytesIO()
img.save(img_byte_arr, format="PNG")
img_byte_arr.seek(0)
img_binary = img_byte_arr
img_binary.name = "image.png"
# Process mask - white areas will be replaced
mask_np = (mask.squeeze().cpu().numpy() * 255).astype(np.uint8)
mask_img = Image.fromarray(mask_np)
mask_byte_arr = BytesIO()
mask_img.save(mask_byte_arr, format="PNG")
mask_byte_arr.seek(0)
mask_binary = mask_byte_arr
mask_binary.name = "mask.png"
# Create edit request
edit_request = IdeogramV3EditRequest(
prompt=prompt,
rendering_speed=rendering_speed,
)
# Add optional parameters
if magic_prompt_option != "AUTO":
edit_request.magic_prompt = magic_prompt_option
if seed != 0:
edit_request.seed = seed
if num_images > 1:
edit_request.num_images = num_images
files = {
"image": img_binary,
"mask": mask_binary,
}
if character_img_binary:
files["character_reference_images"] = character_img_binary
if character_mask_binary:
files["character_mask_binary"] = character_mask_binary
# Execute the operation for edit mode
operation = SynchronousOperation(
endpoint=ApiEndpoint(
path=path,
method=HttpMethod.POST,
request_model=IdeogramV3EditRequest,
response_model=IdeogramGenerateResponse,
),
request=edit_request,
files=files,
content_type="multipart/form-data",
auth_kwargs=auth,
)
elif image is not None or mask is not None:
# If only one of image or mask is provided, raise an error
raise Exception("Ideogram V3 image editing requires both an image AND a mask")
else:
# Generation mode
path = "/proxy/ideogram/ideogram-v3/generate"
# Create generation request
gen_request = IdeogramV3Request(
prompt=prompt,
rendering_speed=rendering_speed,
)
# Handle resolution vs aspect ratio
if resolution != "Auto":
gen_request.resolution = resolution
elif aspect_ratio != "1:1":
v3_aspect = V3_RATIO_MAP.get(aspect_ratio)
if v3_aspect:
gen_request.aspect_ratio = v3_aspect
# Add optional parameters
if magic_prompt_option != "AUTO":
gen_request.magic_prompt = magic_prompt_option
if seed != 0:
gen_request.seed = seed
if num_images > 1:
gen_request.num_images = num_images
files = {}
if character_img_binary:
files["character_reference_images"] = character_img_binary
if character_mask_binary:
files["character_mask_binary"] = character_mask_binary
if files:
gen_request.style_type = "AUTO"
# Execute the operation for generation mode
operation = SynchronousOperation(
endpoint=ApiEndpoint(
path=path,
method=HttpMethod.POST,
request_model=IdeogramV3Request,
response_model=IdeogramGenerateResponse,
),
request=gen_request,
files=files if files else None,
content_type="multipart/form-data",
auth_kwargs=auth,
)
# Execute the operation and process response
response = await operation.execute()
if not response.data or len(response.data) == 0:
raise Exception("No images were generated in the response")
image_urls = [image_data.url for image_data in response.data if image_data.url]
if not image_urls:
raise Exception("No image URLs were generated in the response")
display_image_urls_on_node(image_urls, cls.hidden.unique_id)
return comfy_io.NodeOutput(await download_and_process_images(image_urls))
class IdeogramExtension(ComfyExtension):
@override
async def get_node_list(self) -> list[type[comfy_io.ComfyNode]]:
return [
IdeogramV1,
IdeogramV2,
IdeogramV3,
]
async def comfy_entrypoint() -> IdeogramExtension:
return IdeogramExtension()
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