Instructions to use wujia/out with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use wujia/out 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("wujia/out") prompt = "a photo of sks dog" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download checkpoint-200/optimizer.bin from wujia/out: direct link, hf CLI and curl.
- Browser
- Download file 6.59 MB
-
https://huggingface.co/wujia/out/resolve/main/checkpoint-200/optimizer.bin
- Command line
-
hf download hf://wujia/out/checkpoint-200/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/wujia/out/resolve/main/checkpoint-200/optimizer.bin
6.59 MB
- Xet hash:
- e84d975985224de081442600c12b54b99d28ff1be7fb35104e6492afbdd3ea19
- Size of remote file:
- 6.59 MB
- SHA256:
- 0ef681e0c7091636ebaa5ac09035d4b5eacbe0e845f0c3f1b94426b955da8bbc
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