Text-to-Image
Diffusers
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StableDiffusionPipeline
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stable-diffusion
stable-diffusion-diffusers
Instructions to use Yntec/Reliberate with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yntec/Reliberate with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Yntec/Reliberate", 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:
- 231ffd01f64a3ef12c0720b81df62c0583dae72b9c4675038a573a928237e795
- Size of remote file:
- 492 MB
- SHA256:
- 58e93d9cf68c13e082e6472c44205d449bbfdc46c6a92a907f85f60158149304
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