Instructions to use igorshmel/cluster-art with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use igorshmel/cluster-art with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("igorshmel/cluster-art", 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
- Draw Things
- DiffusionBee
- Xet hash:
- 682f0ade285730be062eb7e7a8fdf0f1042ba2bc652a3249aa6cc7018ca4c35e
- Size of remote file:
- 492 MB
- SHA256:
- 7089d019d13fc23302c5452c4e8282895f6abd79be387102f225600e7c4f9e28
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