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 pytorch_lora_weights.bin from polytechXhf/stable-diffusion-jojo-adapter-200: direct link, hf CLI and curl.
- Browser
- Download file 3.29 MB
-
https://huggingface.co/polytechXhf/stable-diffusion-jojo-adapter-200/resolve/main/pytorch_lora_weights.bin
- Command line
-
hf download hf://polytechXhf/stable-diffusion-jojo-adapter-200/pytorch_lora_weights.bin
-
curl -L -o pytorch_lora_weights.bin https://huggingface.co/polytechXhf/stable-diffusion-jojo-adapter-200/resolve/main/pytorch_lora_weights.bin
3.29 MB
- Xet hash:
- 64cdc19c24bf9ebf413c8615561f84b9a71f4ecbfd29adae11c8efcb9fb1eb6a
- Size of remote file:
- 3.29 MB
- SHA256:
- def1162a90c4e6625fd2b5ea873e5eee17e62ea340ea3a581da97034323c1b72
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