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,)
