Instructions to use kewu93/three_styles_lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use kewu93/three_styles_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("kewu93/three_styles_lora") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download checkpoint-2000/optimizer.bin from kewu93/three_styles_lora: direct link, hf CLI and curl.
- Browser
- Download file 3.4 MB
-
https://huggingface.co/kewu93/three_styles_lora/resolve/main/checkpoint-2000/optimizer.bin
- Command line
-
hf download hf://kewu93/three_styles_lora/checkpoint-2000/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/kewu93/three_styles_lora/resolve/main/checkpoint-2000/optimizer.bin
3.4 MB
- Xet hash:
- 1b7f1865f07ed0a86fc389beefd922710c090351206b1a7bca4281456adef79f
- Size of remote file:
- 3.4 MB
- SHA256:
- e325e7096fa576da7e6f2beea713df4072a8a3052e7cdd0567f080c0adecac11
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