Instructions to use ikozlov/MobileDiffusionStable with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ikozlov/MobileDiffusionStable with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("ikozlov/MobileDiffusionStable", 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:
- 21d7960e9d90f01e70210dc12a9eac1cdaf5faea00c2b9623ddbc235db0dd15d
- Size of remote file:
- 253 MB
- SHA256:
- c06e8e2f73be888f8026728b85703a2cbf6960a12ab47f4a9ba02fda4ae7674b
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