Type: huggingface.image_to_image.ImageToImage
Namespace: huggingface.image_to_image
Description
Transforms existing images based on text prompts using AutoPipeline for Image-to-Image. This node automatically detects the appropriate pipeline class based on the model used. image, generation, image-to-image, autopipeline
Use cases:
- Transform existing images with any compatible model (Stable Diffusion, SDXL, Kandinsky, etc.)
- Apply specific styles or concepts to photographs or artwork
- Modify existing images based on text descriptions
- Create variations of existing visual content with automatic pipeline selection
Properties
| Property | Type | Description | Default |
|---|---|---|---|
| model | hf.image_to_image |
The HuggingFace model to use for image-to-image generation. | {'type': 'hf.image_to_image', 'repo_id': '', 'path': None, 'variant': None, 'allow_patterns': None, 'ignore_patterns': None} |
| prompt | str |
Text prompt describing the desired image transformation. | A beautiful landscape with mountains and a lake at sunset |
| negative_prompt | str |
Text prompt describing what should not appear in the generated image. | `` |
| image | image |
The input image to transform | {'type': 'image', 'uri': '', 'asset_id': None, 'data': None} |
| strength | float |
Strength of the transformation. Higher values allow for more deviation from the original image. | 0.8 |
| num_inference_steps | int |
Number of denoising steps. | 25 |
| guidance_scale | float |
Guidance scale for generation. Higher values follow the prompt more closely. | 7.5 |
| seed | int |
Seed for the random number generator. Use -1 for a random seed. | -1 |
Outputs
| Output | Type | Description |
|---|---|---|
| output | image |
Metadata
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