class StabilityStableImageUltraNode:
"""
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/stability"
@classmethod
def INPUT_TYPES(s):
return {
"required": {
"prompt": (
IO.STRING,
{
"multiline": True,
"default": "",
"tooltip": "What you wish to see in the output image. A strong, descriptive prompt that clearly defines" +
"What you wish to see in the output image. A strong, descriptive prompt that clearly defines" +
"elements, colors, and subjects will lead to better results. " +
"To control the weight of a given word use the format `(word:weight)`," +
"where `word` is the word you'd like to control the weight of and `weight`" +
"is a value between 0 and 1. For example: `The sky was a crisp (blue:0.3) and (green:0.8)`" +
"would convey a sky that was blue and green, but more green than blue."
},
),
"aspect_ratio": ([x.value for x in StabilityAspectRatio],
{
"default": StabilityAspectRatio.ratio_1_1,
"tooltip": "Aspect ratio of generated image.",
},
),
"style_preset": (get_stability_style_presets(),
{
"tooltip": "Optional desired style of generated image.",
},
),
"seed": (
IO.INT,
{
"default": 0,
"min": 0,
"max": 4294967294,
"control_after_generate": True,
"tooltip": "The random seed used for creating the noise.",
},
),
},
"optional": {
"image": (IO.IMAGE,),
"negative_prompt": (
IO.STRING,
{
"default": "",
"forceInput": True,
"tooltip": "A blurb of text describing what you do not wish to see in the output image. This is an advanced feature."
},
),
"image_denoise": (
IO.FLOAT,
{
"default": 0.5,
"min": 0.0,
"max": 1.0,
"step": 0.01,
"tooltip": "Denoise of input image; 0.0 yields image identical to input, 1.0 is as if no image was provided at all.",
},
),
},
"hidden": {
"auth_token": "AUTH_TOKEN_COMFY_ORG",
},
}
def api_call(self, prompt: str, aspect_ratio: str, style_preset: str, seed: int,
negative_prompt: str=None, image: torch.Tensor = None, image_denoise: float=None,
auth_token=None):
# prepare image binary if image present
image_binary = None
if image is not None:
image_binary = tensor_to_bytesio(image, 1504 * 1504).read()
else:
image_denoise = None
if not negative_prompt:
negative_prompt = None
if style_preset == "None":
style_preset = None
files = {
"image": image_binary
}
operation = SynchronousOperation(
endpoint=ApiEndpoint(
path="/proxy/stability/v2beta/stable-image/generate/ultra",
method=HttpMethod.POST,
request_model=StabilityStableUltraRequest,
response_model=StabilityStableUltraResponse,
),
request=StabilityStableUltraRequest(
prompt=prompt,
negative_prompt=negative_prompt,
aspect_ratio=aspect_ratio,
seed=seed,
strength=image_denoise,
style_preset=style_preset,
),
files=files,
content_type="multipart/form-data",
auth_token=auth_token,
)
response_api = operation.execute()
if response_api.finish_reason != "SUCCESS":
raise Exception(f"Stable Image Ultra generation failed: {response_api.finish_reason}.")
image_data = base64.b64decode(response_api.image)
returned_image = bytesio_to_image_tensor(BytesIO(image_data))
return (returned_image,)
