Instructions to use monkseal555/Diff2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use monkseal555/Diff2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("monkseal555/Diff2", 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:
- f45bf8ddbc92835cc85645dd735c62b5a06bbfc769cf5d991fd1b19c42f49d18
- Size of remote file:
- 557 Bytes
- SHA256:
- 0e0de1dbdffef32cee5f5cde4b67357ad19ab12e8393cb6c4f9ce2401bd5e083
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