参数说明
输入参数
| 参数 | 类型 | 默认值 | 说明 |
|---|---|---|---|
| prompt | 字符串 | "" | 详细描述要生成内容的文本提示词 |
| seed | 整数 | 0 | 最终结果与种子无关，这个参数只是决定是否重新执行 |
| quality | 选择项 | ”standard” | 图像质量，可选值：“standard”或”hd” |
| style | 选择项 | ”natural” | 视觉风格，可选值：“natural”或”vivid”。“vivid”使模型倾向于生成超现实和戏剧性图像，“natural”则生成更自然、不那么超现实的图像 |
| size | 选择项 | ”1024x1024” | 输出图像尺寸，可选值：“1024x1024”、“1024x1792”或”1792x1024” |
输出参数
| 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 OpenAIDalle3(ComfyNodeABC):
"""
Generates images synchronously via OpenAI's DALL·E 3 endpoint.
Uses the proxy at /proxy/openai/images/generations. Returned URLs are short‑lived,
so download or cache results if you need to keep them.
"""
def __init__(self):
pass
@classmethod
def INPUT_TYPES(cls) -> InputTypeDict:
return {
"required": {
"prompt": (
IO.STRING,
{
"multiline": True,
"default": "",
"tooltip": "Text prompt for DALL·E",
},
),
},
"optional": {
"seed": (
IO.INT,
{
"default": 0,
"min": 0,
"max": 2**31 - 1,
"step": 1,
"display": "number",
"control_after_generate": True,
"tooltip": "not implemented yet in backend",
},
),
"quality": (
IO.COMBO,
{
"options": ["standard", "hd"],
"default": "standard",
"tooltip": "Image quality",
},
),
"style": (
IO.COMBO,
{
"options": ["natural", "vivid"],
"default": "natural",
"tooltip": "Vivid causes the model to lean towards generating hyper-real and dramatic images. Natural causes the model to produce more natural, less hyper-real looking images.",
},
),
"size": (
IO.COMBO,
{
"options": ["1024x1024", "1024x1792", "1792x1024"],
"default": "1024x1024",
"tooltip": "Image size",
},
),
},
"hidden": {"auth_token": "AUTH_TOKEN_COMFY_ORG"},
}
RETURN_TYPES = (IO.IMAGE,)
FUNCTION = "api_call"
CATEGORY = "api node/image/openai"
DESCRIPTION = cleandoc(__doc__ or "")
API_NODE = True
def api_call(
self,
prompt,
seed=0,
style="natural",
quality="standard",
size="1024x1024",
auth_token=None,
):
model = "dall-e-3"
# build the operation
operation = SynchronousOperation(
endpoint=ApiEndpoint(
path="/proxy/openai/images/generations",
method=HttpMethod.POST,
request_model=OpenAIImageGenerationRequest,
response_model=OpenAIImageGenerationResponse,
),
request=OpenAIImageGenerationRequest(
model=model,
prompt=prompt,
quality=quality,
size=size,
style=style,
seed=seed,
),
auth_token=auth_token,
)
response = operation.execute()
img_tensor = validate_and_cast_response(response)
return (img_tensor,)