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This node generates images synchronously using Stability AI’s Stable Diffusion 3.5 model. It creates images based on text prompts and can also modify existing images when provided as input. The node supports various aspect ratios and style presets to customize the output.

Inputs

ParameterDescriptionData TypeRequiredRange
promptWhat you wish to see in the output image. A strong, descriptive prompt that clearly defines elements, colors, and subjects will lead to better results. (default: empty string)STRINGYes-
modelThe Stable Diffusion 3.5 model to use for generation.COMBOYessd3.5-large
sd3.5-large-turbo
sd3.5-medium
aspect_ratioAspect ratio of generated image. (default: 1:1)COMBOYes16:9
1:1
21:9
2:3
3:2
4:5
5:4
9:16
9:21
style_presetOptional desired style of generated image. Select “None” for no style preset.COMBONo3d-model
analog-film
anime
cinematic
comic-book
digital-art
enhance
fantasy-art
isometric
line-art
low-poly
modeling-compound
neon-punk
origami
photographic
pixel-art
tile-texture
None
cfg_scaleHow strictly the diffusion process adheres to the prompt text (higher values keep your image closer to your prompt). (default: 4.0)FLOATYes1.0 to 10.0
seedThe random seed used for creating the noise. (default: 0)INTYes0 to 4294967294
imageOptional input image for image-to-image generation. When provided, the node switches to image-to-image mode and the aspect_ratio parameter is ignored.IMAGENo-
negative_promptKeywords of what you do not wish to see in the output image. This is an advanced feature. (default: empty string)STRINGNo-
image_denoiseDenoise of input image; 0.0 yields image identical to input, 1.0 is as if no image was provided at all. (default: 0.5) This parameter is only used when an image is provided.FLOATNo0.0 to 1.0
Note: When an image is provided, the node switches to image-to-image generation mode and the aspect_ratio parameter is automatically determined from the input image. When no image is provided, the image_denoise parameter is ignored.

Outputs

Output NameDescriptionData Type
imageThe generated or modified image.IMAGE
This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! Edit on GitHub

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