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ComfyUI/comfy_api_nodes/nodes_ideogram.py
Christian Byrne 3291883d86
Add control_after_generate to all seed inputs (#69)
2025-04-30 11:20:19 -07:00

549 lines
18 KiB
Python
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from comfy.comfy_types.node_typing import IO, ComfyNodeABC, InputTypeDict
from inspect import cleandoc
from comfy_api_nodes.apis import (
IdeogramGenerateRequest,
IdeogramGenerateResponse,
ImageRequest,
)
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,
)
RESOLUTION_MAPPING = {
"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",
}
ASPECT_RATIO_MAPPING = {
"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",
}
def download_and_process_image(image_url):
"""Helper function to download and process image from URL"""
# Using functions from apinode_utils.py to handle downloading and processing
image_bytesio = 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
return img_tensor
class IdeogramV1(ComfyNodeABC):
"""
Generates images synchronously using the Ideogram V1 model.
Images links are available for a limited period of time; if you would like to keep the image, you must download it.
"""
def __init__(self):
pass
@classmethod
def INPUT_TYPES(cls) -> InputTypeDict:
return {
"required": {
"prompt": (
IO.STRING,
{
"multiline": True,
"default": "",
"tooltip": "Prompt for the image generation",
},
),
"turbo": (
IO.BOOLEAN,
{
"default": False,
"tooltip": "Whether to use turbo mode (faster generation, potentially lower quality)",
}
),
},
"optional": {
"aspect_ratio": (
IO.COMBO,
{
"options": list(ASPECT_RATIO_MAPPING.keys()),
"default": "1:1",
"tooltip": "The aspect ratio for image generation.",
},
),
"magic_prompt_option": (
IO.COMBO,
{
"options": ["AUTO", "ON", "OFF"],
"default": "AUTO",
"tooltip": "Determine if MagicPrompt should be used in generation",
},
),
"seed": (
IO.INT,
{
"default": 0,
"min": 0,
"max": 2147483647,
"step": 1,
"control_after_generate": True,
"display": "number",
},
),
"negative_prompt": (
IO.STRING,
{
"multiline": True,
"default": "",
"tooltip": "Description of what to exclude from the image",
},
),
"num_images": (
IO.INT,
{"default": 1, "min": 1, "max": 8, "step": 1, "display": "number"},
),
},
"hidden": {"auth_token": "AUTH_TOKEN_COMFY_ORG"},
}
RETURN_TYPES = (IO.IMAGE,)
FUNCTION = "api_call"
CATEGORY = "api node/image/ideogram/v1"
DESCRIPTION = cleandoc(__doc__ or "")
API_NODE = True
def api_call(
self,
prompt,
turbo=False,
aspect_ratio="1:1",
magic_prompt_option="AUTO",
seed=0,
negative_prompt="",
num_images=1,
auth_token=None,
):
# Determine the model based on turbo setting
aspect_ratio = ASPECT_RATIO_MAPPING.get(aspect_ratio, None)
model = "V_1_TURBO" if turbo else "V_1"
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_token=auth_token,
)
response = operation.execute()
if not response.data or len(response.data) == 0:
raise Exception("No images were generated in the response")
image_url = response.data[0].url
if not image_url:
raise Exception("No image URL was generated in the response")
return (download_and_process_image(image_url),)
class IdeogramV2(ComfyNodeABC):
"""
Generates images synchronously using the Ideogram V2 model.
Images links are available for a limited period of time; if you would like to keep the image, you must download it.
"""
def __init__(self):
pass
@classmethod
def INPUT_TYPES(cls) -> InputTypeDict:
return {
"required": {
"prompt": (
IO.STRING,
{
"multiline": True,
"default": "",
"tooltip": "Prompt for the image generation",
},
),
"turbo": (
IO.BOOLEAN,
{
"default": False,
"tooltip": "Whether to use turbo mode (faster generation, potentially lower quality)",
}
),
},
"optional": {
"aspect_ratio": (
IO.COMBO,
{
"options": list(ASPECT_RATIO_MAPPING.keys()),
"default": "1:1",
"tooltip": "The aspect ratio for image generation. Ignored if resolution is not set to AUTO.",
},
),
"resolution": (
IO.COMBO,
{
"options": list(RESOLUTION_MAPPING.keys()),
"default": "Auto",
"tooltip": "The resolution for image generation. If not set to AUTO, this overrides the aspect_ratio setting.",
},
),
"magic_prompt_option": (
IO.COMBO,
{
"options": ["AUTO", "ON", "OFF"],
"default": "AUTO",
"tooltip": "Determine if MagicPrompt should be used in generation",
},
),
"seed": (
IO.INT,
{
"default": 0,
"min": 0,
"max": 2147483647,
"step": 1,
"control_after_generate": True,
"display": "number",
},
),
"style_type": (
IO.COMBO,
{
"options": ["NONE", "ANIME", "CINEMATIC", "CREATIVE", "DIGITAL_ART", "PHOTOGRAPHIC"],
"default": "NONE",
"tooltip": "Style type for generation (V2 only)",
},
),
"negative_prompt": (
IO.STRING,
{
"multiline": True,
"default": "",
"tooltip": "Description of what to exclude from the image",
},
),
"num_images": (
IO.INT,
{"default": 1, "min": 1, "max": 8, "step": 1, "display": "number"},
),
#"color_palette": (
# IO.STRING,
# {
# "multiline": False,
# "default": "",
# "tooltip": "Color palette preset name or hex colors with weights",
# },
#),
},
"hidden": {"auth_token": "AUTH_TOKEN_COMFY_ORG"},
}
RETURN_TYPES = (IO.IMAGE,)
FUNCTION = "api_call"
CATEGORY = "api node/image/ideogram/v2"
DESCRIPTION = cleandoc(__doc__ or "")
API_NODE = True
def api_call(
self,
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="",
auth_token=None,
):
aspect_ratio = ASPECT_RATIO_MAPPING.get(aspect_ratio, None)
resolution = RESOLUTION_MAPPING.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
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_token=auth_token,
)
response = operation.execute()
if not response.data or len(response.data) == 0:
raise Exception("No images were generated in the response")
image_url = response.data[0].url
if not image_url:
raise Exception("No image URL was generated in the response")
return (download_and_process_image(image_url),)
class IdeogramV3(ComfyNodeABC):
"""
Generates images synchronously using the Ideogram V3 model.
Images links are available for a limited period of time; if you would like to keep the image, you must download it.
"""
def __init__(self):
pass
@classmethod
def INPUT_TYPES(cls) -> InputTypeDict:
return {
"required": {
"prompt": (
IO.STRING,
{
"multiline": True,
"default": "",
"tooltip": "Prompt for the image generation",
},
),
},
"optional": {
"aspect_ratio": (
IO.COMBO,
{
"options": list(ASPECT_RATIO_MAPPING.keys()),
"default": "1:1",
"tooltip": "The aspect ratio for image generation.",
},
),
"magic_prompt_option": (
IO.COMBO,
{
"options": ["AUTO", "ON", "OFF"],
"default": "AUTO",
"tooltip": "Determine if MagicPrompt should be used in generation",
},
),
"seed": (
IO.INT,
{
"default": 0,
"min": 0,
"max": 2147483647,
"step": 1,
"control_after_generate": True,
"display": "number",
},
),
"num_images": (
IO.INT,
{"default": 1, "min": 1, "max": 8, "step": 1, "display": "number"},
),
},
"hidden": {"auth_token": "AUTH_TOKEN_COMFY_ORG"},
}
RETURN_TYPES = (IO.IMAGE,)
FUNCTION = "api_call"
CATEGORY = "api node/image/ideogram/v3"
DESCRIPTION = cleandoc(__doc__ or "")
API_NODE = True
def api_call(
self,
prompt,
aspect_ratio="ASPECT_1_1",
magic_prompt_option="AUTO",
seed=0,
num_images=1,
auth_token=None,
):
aspect_ratio = ASPECT_RATIO_MAPPING.get(aspect_ratio, None)
# V3 model - no turbo option
model = "V_3"
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
),
)
),
auth_token=auth_token,
)
response = operation.execute()
if not response.data or len(response.data) == 0:
raise Exception("No images were generated in the response")
image_url = response.data[0].url
if not image_url:
raise Exception("No image URL was generated in the response")
return (download_and_process_image(image_url),)
NODE_CLASS_MAPPINGS = {
"IdeogramV1": IdeogramV1,
"IdeogramV2": IdeogramV2,
#"IdeogramV3": IdeogramV3,
}
NODE_DISPLAY_NAME_MAPPINGS = {
"IdeogramV1": "Ideogram V1",
"IdeogramV2": "Ideogram V2",
#"IdeogramV3": "Ideogram V3",
}
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