Instructions to use YaYaB/sd-onepiece-diffusers-test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use YaYaB/sd-onepiece-diffusers-test with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("YaYaB/sd-onepiece-diffusers-test", dtype=torch.bfloat16, device_map="cuda") 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
- Xet hash:
- 0e2e80d9c5fa3295c0e9ef015aa7a4d193f94b4aea68c2f878e3a8eaf23ce591
- Size of remote file:
- 3.44 GB
- SHA256:
- ca6a13cd219408a34cc83ad17b45e17c2eb53dfc58a819c625896024b83c93f1
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