Instructions to use lora-library/unlight with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use lora-library/unlight with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("WarriorMama777/AbyssOrangeMix2", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("lora-library/unlight") prompt = "unlight" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download checkpoint-300/optimizer.bin from lora-library/unlight: direct link, hf CLI and curl.
- Browser
- Download file 4 MB
-
https://huggingface.co/lora-library/unlight/resolve/main/checkpoint-300/optimizer.bin
- Command line
-
hf download hf://lora-library/unlight/checkpoint-300/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/lora-library/unlight/resolve/main/checkpoint-300/optimizer.bin
4 MB
- Xet hash:
- 9a231dbd460287440164a370757076e13d636aafda43b9327138c8844f669793
- Size of remote file:
- 4 MB
- SHA256:
- 928230aa8e7853c1db549bdc803be87a777669ad6619f41fa774d01c9505d7aa
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