Instructions to use raphael-gl/broken_adapter with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use raphael-gl/broken_adapter with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("raphael-gl/sdxl-base", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("raphael-gl/broken_adapter") prompt = "a photo of sks dog" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download pytorch_lora_weights.safetensors from raphael-gl/broken_adapter: direct link, hf CLI and curl.
- Browser
- Download file 23.4 MB
-
https://huggingface.co/raphael-gl/broken_adapter/resolve/main/pytorch_lora_weights.safetensors
- Command line
-
hf download hf://raphael-gl/broken_adapter/pytorch_lora_weights.safetensors
-
curl -L -o pytorch_lora_weights.safetensors https://huggingface.co/raphael-gl/broken_adapter/resolve/main/pytorch_lora_weights.safetensors
23.4 MB
- Xet hash:
- c06aeb7257bd3806319f078005401ccfa5ff864ec35410ffdb6c5902505de048
- Size of remote file:
- 23.4 MB
- SHA256:
- d3d19c7421b111f9cfc020626657b0fd721e90b2f33f25291438901a5a7a4879
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