Instructions to use RobertML/edge-super-compile-0B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use RobertML/edge-super-compile-0B with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("RobertML/edge-super-compile-0B", 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
Commit History
-
Add files using upload-large-folder tool
Verified signatured9ff5d3 -
Add files using upload-large-folder tool
Verified signature2207e4c -
Add files using upload-large-folder tool
Verified signature9d5d050 -
Add files using upload-large-folder tool
Verified signaturedb7db18 -
Add files using upload-large-folder tool
Verified signature67b5ea2 -
Add files using upload-large-folder tool
Verified signaturebaafade -
Add files using upload-large-folder tool
Verified signature1248af9 -
Add files using upload-large-folder tool
Verified signature4b4f9cc -
Add files using upload-large-folder tool
Verified signature42c76e0 -
initial commit
Verified signature6673b08