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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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``` python |
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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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import torch |
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from diffusers import FluxPipeline |
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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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