<h3 id="this-model-is-converted-to-bnb-nf4-by-mixing-flux-dev-fp8-with-vae-text-encoder-t5xxl-fp8-and-clip-l.-all-included!-0pw68al2b">This model is converted to bnb nf4 by mixing Flux dev fp8 with VAE, text encoder T5xxl-fp8 and Clip-l. All included!</h3>For those who don't care about size, also blended full dev fp16 with VAE, text encoder T5xxl-fp16 and Clip-l in NF4. All included!From many observations, the FP8 is a bit more accurate in understanding the prompt. And having assembled this build and tested it, I came to the same conclusion.This model is a bit more accurate than the familiar NF4 v2. I've done a lot of generation with complex prompts to assert this. And I am completely satisfied with the way this model understands me. With simple prompts I didn't notice any difference.The model works well with lors in Forge, in which I create in. Don't forget to select in Diffusion in Low Bits: Automatic (fp16 LoRA).In Forge I choose Euler or Flux Realistic samplers, Schedule type: Simple. CFG: 1, number of steps 20-30.Generated outputs can be used for personal, scientific, and commercial purposes as described in the <a target="_blank" rel="ugc" href="https://huggingface.co/black-forest-labs/FLUX.1-dev/blob/main/LICENSE.md">flux-1-dev-non-commercial-license</a>

Precise Flux dev NF4 FP8/FP16 | CLIP and VAE included

This model is converted to bnb nf4 by mixing Flux dev fp8 with VAE, text encoder T5xxl-fp8 and Clip-l. All included!

Files with SHA256: 46dacf0e3b5535c2a4d68dcc02cc88797dd939692cf942ec9579eab4f4dbfe8b