Instructions to use osamaifti/custom_stable_diffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use osamaifti/custom_stable_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("osamaifti/custom_stable_diffusion", torch_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:
- ab7ce6e9d694e492897f4ede6ccfda7c78ed1ff94c521220a5c5e27f63a96ad3
- Size of remote file:
- 492 MB
- SHA256:
- 167b6a2833f6fc89f943171d8017d5c4d6b1a7c8b0d69a8f6f95447174daa094
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