Instructions to use RobertML/edge-cache-04 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use RobertML/edge-cache-04 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-04", 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:
- 3f8c9748d7bd83e8d91d23c5d91a5ebe39b9433fc435c9d51df29a8ac839b11a
- Size of remote file:
- 9.36 MB
- SHA256:
- 6f97e11242c00f86337bd9801ad4820b68c99918a922c8542922be505c2bb430
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