Type: huggingface.image_to_image.FluxFill
Namespace: huggingface.image_to_image
Description
Performs image inpainting/filling using FLUX Fill models with support for GGUF quantization. image, inpainting, fill, flux, quantization, mask
Use cases:
- Fill masked regions in images with high-quality content
- Remove unwanted objects from images
- Complete missing parts of images
- Memory-efficient inpainting using GGUF quantization
- High-quality image editing with FLUX models
Properties
| Property | Type | Description | Default |
|---|---|---|---|
| model | hf.inpainting |
The FLUX Fill model to use for image inpainting. | {'type': 'hf.inpainting', 'repo_id': 'black-forest-labs/FLUX.1-Fill-dev', 'path': None, 'variant': None, 'allow_patterns': None, 'ignore_patterns': None} |
| prompt | str |
A text prompt describing what should fill the masked area. | a white paper cup |
| image | image |
The input image to fill/inpaint | {'type': 'image', 'uri': '', 'asset_id': None, 'data': None} |
| mask_image | image |
The mask image indicating areas to be filled (white areas will be filled) | {'type': 'image', 'uri': '', 'asset_id': None, 'data': None} |
| height | int |
The height of the generated image. | 1024 |
| width | int |
The width of the generated image. | 1024 |
| guidance_scale | float |
Guidance scale for generation. Higher values follow the prompt more closely | 30.0 |
| num_inference_steps | int |
Number of denoising steps | 50 |
| max_sequence_length | int |
Maximum sequence length for the prompt. | 512 |
| seed | int |
Seed for the random number generator. Use -1 for a random seed. | -1 |
| enable_cpu_offload | bool |
Enable CPU offload to reduce VRAM usage. | True |
Outputs
| Output | Type | Description |
|---|---|---|
| output | image |
Metadata
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