参数说明
必需参数
| 参数 | 类型 | 默认值 | 说明 |
|---|---|---|---|
| prompt | 字符串 | "" | 描述要生成内容的文本提示词 |
| turbo | 布尔值 | False | 是否使用turbo模式（更快的生成速度，可能质量较低） |
可选参数
| 参数 | 类型 | 默认值 | 说明 |
|---|---|---|---|
| aspect_ratio | 选择项 | ”1:1” | 图像宽高比，当resolution设置为”Auto”时有效 |
| resolution | 选择项 | ”Auto” | 输出图像分辨率，如果不设为”Auto”，将覆盖aspect_ratio设置 |
| magic_prompt_option | 选择项 | ”AUTO” | 决定是否在生成过程中使用MagicPrompt功能，选项有[“AUTO”, “ON”, “OFF”] |
| seed | 整数 | 0 | 随机种子值，范围0-2147483647 |
| style_type | 选择项 | ”NONE” | 生成风格类型（仅V2有效），选项有[“AUTO”, “GENERAL”, “REALISTIC”, “DESIGN”, “RENDER_3D”, “ANIME”] |
| negative_prompt | 字符串 | "" | 指定不希望在图像中出现的元素 |
| num_images | 整数 | 1 | 生成图像数量，范围1-8 |
输出
| 输出 | 类型 | 说明 |
|---|---|---|
| IMAGE | 图像 | 生成的图像结果 |
源码参考
[节点源码 (更新于2025-05-03)]
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(V1_V2_RATIO_MAP.keys()),
"default": "1:1",
"tooltip": "The aspect ratio for image generation. Ignored if resolution is not set to AUTO.",
},
),
"resolution": (
IO.COMBO,
{
"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.",
},
),
"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": ["AUTO", "GENERAL", "REALISTIC", "DESIGN", "RENDER_3D", "ANIME"],
"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 = 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
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_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")
return (download_and_process_images(image_urls),)