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
Commit ·
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Parent(s): 8c4798e
Update README.md
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README.md
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@@ -50,6 +50,7 @@ Check our jupyter notebooks with examples in `./examples` folder
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```python
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from diffusers import AutoPipelineForText2Image
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pipe = AutoPipelineForText2Image.from_pretrained("kandinsky-community/kandinsky-3", variant="fp16", torch_dtype=torch.float16)
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pipe.enable_model_cpu_offload()
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```python
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from diffusers import AutoPipelineForImage2Image
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from diffusers.utils import load_image
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pipe = AutoPipelineForImage2Image.from_pretrained("kandinsky-community/kandinsky-3", variant="fp16", torch_dtype=torch.float16)
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pipe.enable_model_cpu_offload()
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```python
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from diffusers import AutoPipelineForText2Image
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import torch
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pipe = AutoPipelineForText2Image.from_pretrained("kandinsky-community/kandinsky-3", variant="fp16", torch_dtype=torch.float16)
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pipe.enable_model_cpu_offload()
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```python
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from diffusers import AutoPipelineForImage2Image
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from diffusers.utils import load_image
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import torch
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pipe = AutoPipelineForImage2Image.from_pretrained("kandinsky-community/kandinsky-3", variant="fp16", torch_dtype=torch.float16)
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pipe.enable_model_cpu_offload()
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