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-30000/optimizer.bin from polytechXhf/stable-diffusion-onepiece-adapter-1: direct link, hf CLI and curl.
- Browser
- Download file 6.59 MB
-
https://huggingface.co/polytechXhf/stable-diffusion-onepiece-adapter-1/resolve/main/checkpoint-30000/optimizer.bin
- Command line
-
hf download hf://polytechXhf/stable-diffusion-onepiece-adapter-1/checkpoint-30000/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/polytechXhf/stable-diffusion-onepiece-adapter-1/resolve/main/checkpoint-30000/optimizer.bin
6.59 MB
- Xet hash:
- b6059deff693052f9e795a665a5e0d97fc9540d06cb2f365e31fe8baf487609b
- Size of remote file:
- 6.59 MB
- SHA256:
- b2136fda43829a4cabdb4a6e78b6415a43b63eae2e96cd1f6d60a8d0b24df5f9
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