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+ ---
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+ license: mit
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+ base_model:
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+ - mikeyandfriends/PixelWave_FLUX.1-dev_03
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+ library_name: diffusers
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+ ---
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+
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+
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+ ``` python
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+
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+ pip install sentencepiece
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+ pip install tokenizer
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+ pip install accelerate
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+ pip install protobuf
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+
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+ import torch
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+ from diffusers import FluxPipeline
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+
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+ pipe = FluxPipeline.from_pretrained("ModelsLab/Pixelwave-Flux", torch_dtype=torch.bfloat16)
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+ pipe.to("cuda")
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+ prompt="close beutiful lady face"
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+ # Depending on the variant being used, the pipeline call will slightly vary.
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+ # Refer to the pipeline documentation for more details.
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+ image = pipe(prompt, num_inference_steps=15, guidance_scale=4.5).images[0]
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+ image.save("flux.png")
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+
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+ ```
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+ ![images_display](fre.png)