Instructions to use polytechXhf/stable-diffusion-onepiece-adapter-1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use polytechXhf/stable-diffusion-onepiece-adapter-1 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("polytechXhf/stable-diffusion-onepiece-adapter-1") 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-35000/pytorch_model.bin from polytechXhf/stable-diffusion-onepiece-adapter-1: direct link, hf CLI and curl.
- Browser
- Download file 3.29 MB
-
https://huggingface.co/polytechXhf/stable-diffusion-onepiece-adapter-1/resolve/main/checkpoint-35000/pytorch_model.bin
- Command line
-
hf download hf://polytechXhf/stable-diffusion-onepiece-adapter-1/checkpoint-35000/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/polytechXhf/stable-diffusion-onepiece-adapter-1/resolve/main/checkpoint-35000/pytorch_model.bin
3.29 MB
- Xet hash:
- c3aaf33d81b08f5b76ee99163638eee33c41031013ed362670b850b08e860024
- Size of remote file:
- 3.29 MB
- SHA256:
- 9befcf2f6b4600e4c64abb17d18e449b187fd493c41f2a7e0238b932638517b6
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