Text-to-Image
Diffusers
English
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
beeple
digital art
aiart
Instructions to use riccardogiorato/beeple-diffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use riccardogiorato/beeple-diffusion with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("riccardogiorato/beeple-diffusion", 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
Correct `sample_size` of Stable Diffusion 1's unet to have correct width and height default (#2) 6cc4a1f
Add `clip_sample=False` to scheduler to make model compatible with DDIM. (#3) 8162c37
Update README.md f18d4ee
Update README.md aec0402
Update README.md 29e1397
Update README.md 46e0647
diffusion (#1) 4193c23
Update README.md e5af935
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update README 18ed09a
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Create beeple.ckpt 95c60d1
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