Instructions to use kandinsky-community/kandinsky-3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use kandinsky-community/kandinsky-3 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-3", 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
added an image save in text2image demo
#3
by macadeliccc - opened
README.md
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@@ -59,6 +59,8 @@ prompt = "A photograph of the inside of a subway train. There are raccoons sitti
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generator = torch.Generator(device="cpu").manual_seed(0)
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image = pipe(prompt, num_inference_steps=25, generator=generator).images[0]
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```
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### Image-2-Image
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generator = torch.Generator(device="cpu").manual_seed(0)
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image = pipe(prompt, num_inference_steps=25, generator=generator).images[0]
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image.save("kandinsky.png")
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```
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### Image-2-Image
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