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
Commit ·
d44c9d6
1
Parent(s): 9df14c5
Adding `safetensors` variant of this model (#3)
Browse files- Adding `safetensors` variant of this model (4805ec78ec82d748f0c3fbbe21c3fc574dfc7f0b)
movq/diffusion_pytorch_model.safetensors
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oid sha256:43a5860fea195a7116f2471396c5cc9535fade9b63c4857d8a192ffd924b7002
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unet/diffusion_pytorch_model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:3cc2f07442b9de0f18fb3f22247790872c094c4acc9dbe68552f96fd2e5c1ea1
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size 5012309584
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