Instructions to use diagonalge/ConstShaper with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use diagonalge/ConstShaper with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("diagonalge/ConstShaper", 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:
- 84ae58f37e7f8c94c3cb37d5d50359f03d1c27d5a14aeba8574013d6a0cf1b51
- Size of remote file:
- 1.39 GB
- SHA256:
- 0b128fb6413225a195ef82cdd3accbc016e5efceaf71f7dccd197e7489265ae0
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