Instructions to use SedatAl/Rusty-Metal-Flux-Lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use SedatAl/Rusty-Metal-Flux-Lora with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("SedatAl/Rusty-Metal-Flux-Lora") prompt = "texture a close up of a rusty metal surface with a lot of rust on it. The surface is covered in a variety of colors, ranging from yellow to brown, and the rust is visible on the surface" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Add generated example
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by SedatAl - opened
- README.md +6 -0
- images/example_u3u7rf22z.png +3 -0
README.md
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the rust is visible on the surface
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output:
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url: images/example_hyfg8uvf3.png
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base_model: black-forest-labs/FLUX.1-dev
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instance_prompt: texture
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the rust is visible on the surface
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output:
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url: images/example_hyfg8uvf3.png
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- text: >-
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texture a close up of a rusty metal surface with a lot of rust on it. The
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metal is a deep gree and red color, indicating that it has been exposed to
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the elements for some time
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output:
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url: images/example_u3u7rf22z.png
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base_model: black-forest-labs/FLUX.1-dev
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instance_prompt: texture
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images/example_u3u7rf22z.png
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Git LFS Details
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