Instructions to use RobertML/edge-cache-01 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use RobertML/edge-cache-01 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-cache-01", 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
- Xet hash:
- a6967d376bee1b6116b7aba83fad9e9bc25b3bb4ffa981355e06455d005a5c12
- Size of remote file:
- 188 MB
- SHA256:
- 3986989d6743d07e59fb46dff1a13456b6fe41fe5bc9f635e194be7e01e73583
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