Text-to-Image
Diffusers
TensorBoard
English
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
Instructions to use YaYaB/sd-onepiece-diffusers4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use YaYaB/sd-onepiece-diffusers4 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-diffusers4", 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
Commit History
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Add `clip_sample=False` to scheduler to make model compatible with DDIM. (#1)
- Add `clip_sample=False` to scheduler to make model compatible with DDIM. (78c35beb25d0ae502d0824ceccc73d9ddda41e29) Co-authored-by: Patrick von Platen <patrickvonplaten@users.noreply.huggingface.co>381af5b
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End of training
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