Jib Mix Flux

I have trained Flux Dev on my SDXL dataset and merged loras, correcting anatomy censorship and excessive bokeh/blurred backgrounds.

Jib Mix Flux Version 6.1 Real Pix Fixed

6.1 mainly tries to fix small stubby hands or massively distorted hands/arms.
(If you still have problems with hands and you are using a low step count around 8 then increasing the step count usually fixes it alternatively applying a low weight (< 0.10) of the Hyper Flux lora pretty much always fixes hands, although you may find it lowers details).

V6.1 is more realistic on the CFG / more natural faces.

I think it actually does art/cartoon styles a bit better than the original v6 as well.

The V6.1 Pruned Model nf4 (6.33 GB) model is actually the Q4_0.gguf

The V6.1 Pruned Model bf16 (11.84 GB) model is actually the Q8_0.gguf

V6 still has the most detailed backgrounds in my testing.

The V6 Pruned Model nf4 (11.84 GB) model is actually Q8_0.gguf

The V6 Pruned Model bf16 (6.33 GB) model is actually a Q4_0.gguf

Jib Mix Flux Version 5 - It's Alive:

• Improved photorealism. (Less likely to default to painting styles)

• Fixed issues with wonky text.

• More detailed backgrounds

• Reconfigured NSWF slightly

fp8 V4 Canvas Galore:
better fine details and much better artistic styles, and improved NSFW capabilities.

fp8 V3.0 V3.1 - Clarity Key
I initially uploaded the wrong model file on the 21/10/2024, it was very similar but the new file since 22/10/2024 has slightly better contrast and was used for the sample images.

This version Improves detail levels and has a more cinematic feel like the original flux dev.

reduced the "Flux Chin"

Settings - I use a Flux Guidance of 2.9
Sampler = dpmpp_2m.

Scheduler = Beta or Custom Stigmas.

FP8 V2 - Electric Boogaloo: Better NSFW and skin/image quality.

Settings:
I find the best settings are a guidance and 2.5 and a CFG of 2.8 (although CFG does slow down the generation).
When using Loras these values may/will change.

Version: mx5 GGUF 7GB v1

This is a quantized version of my Flux model to run on lower-end graphics cards.

Thanks to @https://civitai.com/user/chrisgoringe243 for quantizing this, it is really good quality for such a small model.

There are larger-sized GGUF versions available here: https://huggingface.co/ChrisGoringe/MixedQuantFlux/tree/main
for mid-range graphics cards.

Version 2 - fp16:

For those with high Vram Cards who want maximum quality I have created this merge with the full fp16 Flux model. if you "only have 24GB of Vram" you will need to force the T5 text encoder onto the CPU/System RAM with this force node on this pack:
https://github.com/city96/ComfyUI_ExtraModels

Those people waiting for a smaller quantized model I am still looking into it.

Version 2:

Merged in 8 Step Hyper Lora and some others.

Settings:
I like a Guidance of 2 and 8-14 steps.

Resolution: I like a around 1280x1344

Version 1 : brings some of the benefits and look of SDXL with the massive prompt adherence benefits of Flux.
Settings:
I like a Guidance of 2 and 20-40 steps.