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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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prompt = "A photograph of the inside of a subway train. There are raccoons sitting on the seats. One of them is reading a newspaper. The window shows the city in the background." |
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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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