Instructions to use jinofcoolnes/sammod with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use jinofcoolnes/sammod with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("jinofcoolnes/sammod", 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
-
Add `scale_factor` to vae config. (#12)
- Add `scale_factor` to vae config. (30e37d25b13fa9b62ac619dc487bda2e60cff4ff) Co-authored-by: Suraj Patil <[email protected]>ee4b84a
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Add Diffusers weights (#11)
- Add Diffusers weights (5c6ab62a79c5e0a874474099a1a3c314bd1f6d90)26280b2