Flux Sigma Vision Alpha1

Since this is a dedistilled version of "Flux schnell", Apache 2.0 license applies making it free to use commercially.

This fine tuned checkpoint is based on Flux schnell de-distilled thus requires a special comfyUI workflow and won't work very well with standard Flux dev workflows since it's uisng real CFG.

This checkpoint has been trained on high resolution images that have been processed to enable the fine-tune to train on every single detail of the original image, thus working around the 1024x1204 limitation, enabling the model to produce very fine details during tiled upscales that can hold up even in 32K upscales. The result, extremely detailed and realistic skin and overall realism at an unprecedented scale.

This first alpha version has been trained on male subjects only but elements like skin details will likely partically carry over though not confirmed.

Training for female subjects happening as we speak.

Highest quality slow version:

https://openart.ai/workflows/caiman_thirsty_60/flux-sigma-vision-alpha1---t2i---v1-slow/0zYNCa5vKyE2ccDxynZC

Turbo version with shamelessly good quality!!!:

https://openart.ai/workflows/caiman_thirsty_60/flux-sigma-vision-alpha1---t2i---v1-turbo/GIcCaNySArtfrQGbgyQm

Resources:

Lora:

Fast Lora: https://huggingface.co/ostris/OpenFLUX.1/blob/main/openflux1-v0.1.0-fast-lora.safetensors

Turbo Lora: https://huggingface.co/alimama-creative/FLUX.1-Turbo-Alpha

Text encoders:

ViT-L-14-BEST-smooth-GmP-ft:

https://huggingface.co/zer0int/CLIP-GmP-ViT-L-14/resolve/main/ViT-L-14-BEST-smooth-GmP-ft.safetensors?download=true

t5-v1_1-xxl:

https://huggingface.co/city96/t5-v1_1-xxl-encoder-bf16/resolve/main/model.safetensors?download=true

Clip G:

https://huggingface.co/stabilityai/stable-diffusion-3.5-large/resolve/main/text_encoders/clip_g.safetensors?download=true

Recommended settings:

Without Turbo and Fast Lora

CFG: 2-4

Steps: 50-60

With Turbo and Fast Lora

CFG: 2-4

Steps: 8-16

Turbo Lora weight: 1

Fast Lora weight: 0.33

This Flux variant works with negative prompts so use them if you want to. Negative prompt will work with and without the Turbo Lora.