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
- Xet hash:
- 9f41d746a51756b7e41a265c0d71e314692a237a8ed3cb3b0eea650dec614af1
- Size of remote file:
- 492 MB
- SHA256:
- a273749b6d1c74a114236444736357c92883b2e434dbde99662c28189890fa4a
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