Instructions to use DavyMorgan/tiny-sd35-pipe with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use DavyMorgan/tiny-sd35-pipe with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("DavyMorgan/tiny-sd35-pipe", 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:
- be726f50ba11352e874a8946c30b7a61fb6e7bd2af5af9cd45e09445d69f22fd
- Size of remote file:
- 287 kB
- SHA256:
- 880e1efe0b6cefc228b92bf8f1acedaf3e6de60a950d38e61ca13210c2ef36b1
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