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
- Xet hash:
- 5d06b35596c4b33e028f2a21b5ec0ca6ac39856ddf3e7a10cf2c6663db21a9b3
- Size of remote file:
- 6.59 MB
- SHA256:
- 8ad8052b1087b420bdd7680af407e8fa3340e70fa21105198d2f51b597caceb8
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