Instructions to use polytechXhf/stable-diffusion-jojo-adapter-200 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use polytechXhf/stable-diffusion-jojo-adapter-200 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("CompVis/stable-diffusion-v1-4", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("polytechXhf/stable-diffusion-jojo-adapter-200") 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-5000/optimizer.bin from polytechXhf/stable-diffusion-jojo-adapter-200: direct link, hf CLI and curl.
- Browser
- Download file 6.59 MB
-
https://huggingface.co/polytechXhf/stable-diffusion-jojo-adapter-200/resolve/main/checkpoint-5000/optimizer.bin
- Command line
-
hf download hf://polytechXhf/stable-diffusion-jojo-adapter-200/checkpoint-5000/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/polytechXhf/stable-diffusion-jojo-adapter-200/resolve/main/checkpoint-5000/optimizer.bin
6.59 MB
- Xet hash:
- 6f76f46b3c33c07c2a041cc28a0510d6a3e7f37bf5d677d9da2ea06674567155
- Size of remote file:
- 6.59 MB
- SHA256:
- 13177b8c14597c50fade18be58a8c425af6ff176fe4ab7fe7722cc4596ab5e92
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