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+ # flux_quantized_half
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+
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+ ## Model Overview
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+
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+ `Silan10/flux_quantized_half` is a **half-precision (FP16) variant** of the
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+ [`black-forest-labs/FLUX.1-dev`](https://huggingface.co/black-forest-labs/FLUX.1-dev)
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+ text-to-image model.
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+
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+ This repository only changes the **numerical precision of the weights** to
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+ `torch.float16` using PyTorch.
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+
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+ - **Base model:** `black-forest-labs/FLUX.1-dev`
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+ - **Precision:** FP16 (`torch.float16`)
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+
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+ ## Usage (Diffusers)
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+
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+ ```python
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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(
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+ "Silan10/flux_quantized_half"
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+ )
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+ pipe.to("cuda") # or pipe.enable_model_cpu_offload() for low VRAM
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+
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+ prompt = "A detailed concept art of a futuristic city at sunset"
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+ image = pipe(
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+ prompt,
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+ guidance_scale=3.5,
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+ num_inference_steps=20,
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+ max_sequence_length=256,
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+ ).images[0]
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+
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+ image.save("flux_half_sample.png")