Instructions to use fal/flux-klein-9b-virtual-tryon-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use fal/flux-klein-9b-virtual-tryon-lora with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline from diffusers.utils import load_image # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("fill-in-base-model", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("fal/flux-klein-9b-virtual-tryon-lora") prompt = "Turn this cat into a dog" input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png") image = pipe(image=input_image, prompt=prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
Upload README.md with huggingface_hub
Browse files
README.md
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The final image is a full body shot.
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## Recommended Settings
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| Parameter | Value |
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The final image is a full body shot.
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```
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## Weights
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Two versions of the LoRA weights are provided:
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| File | Use with |
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| `flux-klein-tryon.safetensors` | fal.ai API / diffusers |
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| `flux-klein-tryon-comfy.safetensors` | ComfyUI |
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## Recommended Settings
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| Parameter | Value |
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