Flux Art Fusion v1.0 FP16 GGUF Q8 - v1.0 Q8
ハイライトされた画像
推奨ネガティブプロンプト
distorted, noisy, out of focus, deformed, blurry, ugly, (blur, glitch, cartoon, anime
推奨パラメータ
samplers
steps
cfg
resolution
vae
other models
ヒント
NF4 and base models work well with the Loras in the Forge WebUI; select Low Bits: Automatic (fp16 LoRA) in Diffusion.
To work in Comfy with Loras, use only FP8 and FP16 models without converting to NF4.
Don't be afraid to experiment with the model as it handles various art styles including painting, drawing, and realism very well.
バージョンのハイライト
GGUF Q8 version of the FP16 model. Use GGUF text encoders
NF4 models converted to bnb nf4 by mixing Flux1 dev with VAE, T5xxl and Clip-l full fp32 text encoders. Also added a few of my favorite Loras with very little influence. All included!
NF4 and base models work well with the Loras in the Forge WebUI that I create in. Don't forget to select Low Bits: Automatic (fp16 LoRA) in Diffusion.
To work in Comfy with Loras, use only FP8 and FP16 models without converting to NF4.
I finally made a GUFF version of the model) I'm sorry for the long wait, I didn't have enough time.
The models handle a variety of art directions very well. They do especially well with painting and drawn art. But it is also good at realism as well. Don't be afraid to experiment. I've spent many weeks exploring the model's capabilities, but it surprises me every time.))
NF4 models are a bit more accurate than the familiar NF4 v2. I've done a lot of generation with complex cues to assert this. And I am completely satisfied with the way these models understand me. With simple cues I didn't notice any difference.
In Forge WebUI, I select 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 flux-1-dev-non-commercial-license
