Instructions to use RobertML/edge-super-compile-0C with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use RobertML/edge-super-compile-0C 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-0C", 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 signatureb54134d -
Add files using upload-large-folder tool
Verified signatureb96c58e -
Add files using upload-large-folder tool
Verified signature14cb59f -
Add files using upload-large-folder tool
Verified signature5a7b089 -
Add files using upload-large-folder tool
Verified signaturebd87fae -
Add files using upload-large-folder tool
Verified signature19847ad -
Add files using upload-large-folder tool
Verified signature0d88f8f -
Add files using upload-large-folder tool
Verified signature2aaf1c2 -
Add files using upload-large-folder tool
Verified signature5babf3f -
Add files using upload-large-folder tool
Verified signaturea8fe2a7 -
initial commit
Verified signature34a8dbb