Instructions to use kandinsky-community/kandinsky-2-2-decoder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use kandinsky-community/kandinsky-2-2-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("kandinsky-community/kandinsky-2-2-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:
- e9432a71d3b39ca46cbb10a4e50a786b295743a51f0ee6d80c23105ebe778e8d
- Size of remote file:
- 5.01 GB
- SHA256:
- 939ba7f0768b3414c82f148a0ae16b1ac63154c987cb7f017b5ac4648f3ed09a
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