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
- Draw Things
- DiffusionBee
- Xet hash:
- c33e41ce5cba376a6c16f76138d63a5f4cf1e63e35f867a684289be78eaaa266
- Size of remote file:
- 6.59 MB
- SHA256:
- 2694ed56dfa8d8e56e156eff6278556a3f7a3d68e75216968b488a373f6d541f
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