Instructions to use majedk01/stable_diffusion_arbert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use majedk01/stable_diffusion_arbert with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("majedk01/stable_diffusion_arbert", 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:
- b8f28808b5eac1e673095df499df6fc202f851fcbe2b3ea3094f925c46266ae6
- Size of remote file:
- 651 MB
- SHA256:
- 53c1ce1dd37ed2823d47cc811a8faedee97b8e3afd36712088c56b13a04e3df0
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