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--- |
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library_name: diffusers |
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--- |
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This pipeline is intended for debugging or testing. It is saved from [black-forest-labs/FLUX.1-dev](https://huggingface.co/black-forest-labs/FLUX.1-dev) with smaller size and randomly initialized parameters. |
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## Example Usage |
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```python |
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import torch |
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from diffusers import FluxPipeline |
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pipe = FluxPipeline.from_pretrained("tlwu/tiny-random-flux", torch_dtype=torch.bfloat16) |
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prompt = "a tree with blue leaves" |
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image = pipe( |
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prompt, |
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height=1024, |
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width=1024, |
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guidance_scale=3.5, |
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num_inference_steps=50, |
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max_sequence_length=512, |
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generator=torch.Generator("cpu").manual_seed(0) |
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).images[0] |
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image.save("test.png") |
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``` |
