Instructions to use Shaleen123/kandinsky-2.2-test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Shaleen123/kandinsky-2.2-test with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Shaleen123/kandinsky-2.2-test", 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:
- f10b4fbbd9e63e148b8a7ee59a8cd1d3389331ca28ac44e8640213e96390b0da
- Size of remote file:
- 3.69 GB
- SHA256:
- 657723e09f46a7c3957df651601029f66b1748afb12b419816330f16ed45d64d
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