Instructions to use callgg/qi-decoder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use callgg/qi-decoder with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("callgg/qi-decoder", 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:
- 114d12adecfd5c261b40120d7e427665ae8e93036d56efe60c66e25f9d9920ed
- Size of remote file:
- 16.6 GB
- SHA256:
- cfafd739459bc86257397259f612a9aee88e5b98e85b5c0d0d1717e898b3463a
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