Instructions to use EX4L/Lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use EX4L/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("LyliaEngine/Pony_Diffusion_V6_XL", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("EX4L/Lora") prompt = "?" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download Hello_world.safetensors from EX4L/Lora: direct link, hf CLI and curl.
- Browser
- Download file 228 MB
-
https://huggingface.co/EX4L/Lora/resolve/main/Hello_world.safetensors
- Command line
-
hf download hf://EX4L/Lora/Hello_world.safetensors
-
curl -L -o Hello_world.safetensors https://huggingface.co/EX4L/Lora/resolve/main/Hello_world.safetensors
228 MB
- Xet hash:
- d0c0d1a6958c7e1d78b15792690b7ddaaeb5b007f5f4f5cade2c23049667c66e
- Size of remote file:
- 228 MB
- SHA256:
- d8d1c1c3c05ea0968f22a5c58d3fc5cb5392e2b954fa17041878c0da604bb3b8
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