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-5000/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-5000/pytorch_model.bin
- Command line
-
hf download hf://polytechXhf/stable-diffusion-onepiece-adapter-1/checkpoint-5000/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/polytechXhf/stable-diffusion-onepiece-adapter-1/resolve/main/checkpoint-5000/pytorch_model.bin
3.29 MB
- Xet hash:
- cd4334d0bc3193f20f6627ebfc51fd7ca3235d28eb1d29006c9d6326a4208e91
- Size of remote file:
- 3.29 MB
- SHA256:
- 5027df6df2de7034013c0440044f13d8d88f0fa8a00d8157b9cf1d5077840d74
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.