Image-to-Image
Diffusers
Safetensors
super-resolution
image-super-resolution
flux
lora
dpo
diffusion
Instructions to use wafer-bob/ASASR with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use wafer-bob/ASASR 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("wafer-bob/ASASR") 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
Simplify license section
Browse files
README.md
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## License
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reserved by Kuaishou Technology. For commercial use or patent licensing, please contact the
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authors / Kuaishou. The weights additionally inherit the non-commercial terms of FLUX.1-dev.
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## Citation
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## License
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This project is released under [CC-BY-NC-4.0](https://creativecommons.org/licenses/by-nc/4.0/) for **non-commercial research use only**.
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Copyright (c) 2026 The Authors and Kuaishou Technology.
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## Citation
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