Instructions to use martka/cd_offset with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use martka/cd_offset with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("martka/cd_offset", 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 Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 5f84eb664c6e391ca1297191dcd44f723070d3ceecfd21e14cd19c30865ece1c
- Size of remote file:
- 1.81 GB
- SHA256:
- c57a800771151c7d9dc5ed1ba88437701044e1d722d09bdd9c7d97e0200348d6
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