Instructions to use Cooper/breakdomainrealistic with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Cooper/breakdomainrealistic with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Cooper/breakdomainrealistic", 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
- Local Apps
- Draw Things
- DiffusionBee
- Xet hash:
- 78e5ee186f05aabeaf6ee769eb1b63a1cfa48cb7961bb23c986374fe5d39bebc
- Size of remote file:
- 3.44 GB
- SHA256:
- 00fc781492dcb742e444f60873aa49493f15df7b901f167d8b869255d1d00389
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