Instructions to use chentxxx/Lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use chentxxx/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("runwayml/stable-diffusion-v1-5", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("chentxxx/Lora") prompt = "a photo of jiaran girl" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download checkpoint-500/pytorch_model.bin from chentxxx/Lora: direct link, hf CLI and curl.
- Browser
- Download file 3.28 MB
-
https://huggingface.co/chentxxx/Lora/resolve/main/checkpoint-500/pytorch_model.bin
- Command line
-
hf download hf://chentxxx/Lora/checkpoint-500/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/chentxxx/Lora/resolve/main/checkpoint-500/pytorch_model.bin
3.28 MB
- Xet hash:
- 91a5f8b29dcf5e328590253a624ddd5d04b231417ddb8d42e1b25aeb6baae8e9
- Size of remote file:
- 3.28 MB
- SHA256:
- 40bcaf2f588748e28df5fa01c6f89840287a5a8e19df5727981b3c4ea46c99ec
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