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:
- a57657a441dd8f851848859128f3e90de85b69ca83ec3a7f5c12e6605288d893
- Size of remote file:
- 842 Bytes
- SHA256:
- e9c4a470ad900801f7de4f9402eb27af8a1cc00eac80d618ef16bac39fb27d33
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