Stable Diffusion 3 (API)¶
Documentation¶
- Class name:
easy stableDiffusion3API
- Category:
EasyUse/API
- Output node:
False
This node facilitates the generation of images using the Stable Diffusion model, allowing users to specify positive and negative prompts, select a model variant, define the aspect ratio, and adjust parameters such as seed and denoise level for customized image creation.
Input types¶
Required¶
positive
- The positive prompt guides the image generation towards desired themes or elements, influencing the model's output by specifying what to include.
- Comfy dtype:
STRING
- Python dtype:
str
negative
- The negative prompt steers the image generation away from certain themes or elements, helping to avoid undesired aspects in the model's output.
- Comfy dtype:
STRING
- Python dtype:
str
model
- Specifies the variant of the Stable Diffusion model to be used, allowing for selection between standard and turbo modes.
- Comfy dtype:
COMBO[STRING]
- Python dtype:
List[str]
aspect_ratio
- Determines the aspect ratio of the generated image, offering a range of predefined ratios to fit various needs.
- Comfy dtype:
COMBO[STRING]
- Python dtype:
List[str]
seed
- Sets the seed for the random number generator, enabling reproducible results across image generations.
- Comfy dtype:
INT
- Python dtype:
int
denoise
- Adjusts the level of denoising applied to the generated image, with a range from 0 (no denoise) to 1 (full denoise), affecting the clarity and detail.
- Comfy dtype:
FLOAT
- Python dtype:
float
Optional¶
optional_image
- An optional image input for tasks such as image-to-image translation or image enhancement, expanding the node's functionality.
- Comfy dtype:
IMAGE
- Python dtype:
Image
Output types¶
image
- Comfy dtype:
IMAGE
- Outputs the generated image as a result of the image generation process, encapsulating the visual representation of the input prompts and parameters.
- Python dtype:
Image
- Comfy dtype:
ui
- Provides a user interface component displaying the generated image or relevant information.
Usage tips¶
- Infra type:
GPU
- Common nodes: unknown
Source code¶
class stableDiffusion3API:
@classmethod
def INPUT_TYPES(s):
return {
"required": {
"positive": ("STRING", {"default": "", "placeholder": "Positive", "multiline": True}),
"negative": ("STRING", {"default": "", "placeholder": "Negative", "multiline": True}),
"model": (["sd3", "sd3-turbo"],),
"aspect_ratio": (['16:9', '1:1', '21:9', '2:3', '3:2', '4:5', '5:4', '9:16', '9:21'],),
"seed": ("INT", {"default": 0, "min": 0, "max": 4294967294}),
"denoise": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 1.0}),
},
"optional": {
"optional_image": ("IMAGE",),
},
"hidden": {
"unique_id": "UNIQUE_ID",
"extra_pnginfo": "EXTRA_PNGINFO",
},
}
RETURN_TYPES = ("IMAGE",)
RETURN_NAMES = ("image",)
FUNCTION = "generate"
OUTPUT_NODE = False
CATEGORY = "EasyUse/API"
def generate(self, positive, negative, model, aspect_ratio, seed, denoise, optional_image=None, unique_id=None, extra_pnginfo=None):
mode = 'text-to-image'
if optional_image is not None:
mode = 'image-to-image'
output_image = stableAPI.generate_sd3_image(positive, negative, aspect_ratio, seed=seed, mode=mode, model=model, strength=denoise, image=optional_image)
return (output_image,)