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flux1-schnell-fp8

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Updated:

0821

flux1-schnell-fp8 is a derivative of FLUX.1, the latest image generation AI model. This model has the following features:

## Main Features

High-quality image generation

Based on the FLUX.1 [schnell] model, it can generate high-quality images quickly.

Lightweight

Quantized in FP8 (8-bit floating point) format, which significantly reduces memory usage compared to the original FP16 model.

Use on low-spec PCs

Due to the lightweight design, it can run on relatively low-spec PCs and GPUs. It has been reported that it can be used in environments with 8GB VRAM + 16GB RAM.

## Technical Features

- Uses T5+CLIP as a text encoder

- Uses a unique DiT (Diffusion Transformer) for the dediffusion part

- Model distilled from FLUX.1 [pro] using Guidance Distillation

## Notes

As a trade-off for the lightweight nature of the FP8 format, there may be a slight degradation in image quality and generation speed compared to the FP16 version. However, the quality remains sufficient for many users.

flux1-schnell-fp8 is a groundbreaking model that combines high-quality image generation capabilities with low resource requirements, and is used by a wide range of users.

Version Detail

FLUX.1 Schnell
**flux1-schnell-fp8** is a derivative of **FLUX.1**, the latest image generation AI model. This model has the following features: ## Main Features **High-quality image generation** Based on the FLUX.1 [schnell] model, it can generate high-quality images quickly. **Lightweight** Quantized in FP8 (8-bit floating point) format, which significantly reduces memory usage compared to the original FP16 model. **Use on low-spec PCs** Due to the lightweight design, it can run on relatively low-spec PCs and GPUs. It has been reported that it can be used in environments with 8GB VRAM + 16GB RAM. ## Technical Features - Uses T5+CLIP as a text encoder - Uses a unique DiT (Diffusion Transformer) for the dediffusion part - Model distilled from FLUX.1 [pro] using Guidance Distillation ## Notes As a trade-off for the lightweight nature of the FP8 format, there may be a slight degradation in image quality and generation speed compared to the FP16 version. However, the quality remains sufficient for many users. **flux1-schnell-fp8** is a groundbreaking model that combines high-quality image generation capabilities with low resource requirements, and is used by a wide range of users.

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  • Use in TENSOR Online

  • As a online training base model on TENSOR

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  • Sell generated contents

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