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:
- 80794de7591203d8e1dd104fc1a22d1decf34be6ffa3ab7a1bde62a995081544
- Size of remote file:
- 3.18 GB
- SHA256:
- daea748e7aaadb79492d3ba354b9562f3411b9d10de615f01016d0b52dd5d326
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