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Flux Unchained by SCG

HyFU-8-Step-Hybrid-v1.0
SchnFU-v1.3-Unet-4step
FU_V1_Unet_Only(FP8)
FU(t5_16xfp8_e4m3fn)_v1.1
FU(t5_8x8_e4m3fn)_v1.1
最後更新:2024-08-25 20:13:58
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類型:
Checkpoint
基礎模型:
Flux.1 D
觸發詞:
許可範圍:
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模型參數:
評價:
5

This is HyFU, short for "Hybrid Flux Unchained" - This is a 5 way custom block-by-block combination of base Flux-dev, base Flux-schnell, Flux Unchained v1, Flux Unchained V2 (coming soon), and SchnFU v1, and actively uses parts and pieces (via weights and biases) of all 5 models. What this has created is a model that is high quality with the coherence and artistic flair of Dev (depending on the sampler you use, more on that in a sec), near the speed of Schnell, with my own custom fine tuning style that you guys have already gotten to know with either my FU/SchnFU models, or my previous XL/1.5 model series releases (NightVision, DynaVision, ProtoVision, Cinevision).

The best results I've found so far:

If you want more Schnell styled output:

  • Sampler: euler

  • cfg: 1.0

  • steps: 8

  • Scheduler: normal, simple or beta tend to be most reliable, you can get more detail with AYS and AYS_30 schedulers, but I've noticed text tends to take a hit with these guys

If you want more Dev styled output:

  • Sampler: lcm

  • cfg: 0.8

  • steps: 8

  • Scheduler: ays_30+ and beta give the best most detailed and creative outputs, though you can use normal or simple if you have to. I tend to see more errors with this sampler using normal and simple, and they both tend to have less detail, but it still captures the dev style better than euler does.

A few other testing observations worth sharing with this model that makes it a bit different than either dev or schnell. First, guidance does absolutely nothing with this model. Guidance of 1.0 to guidance of 50, you're going to get the same output.

This model is very very sensitive to CFG changes. for the LCM sampler, I use 0.8, but I've found it's stable in the 0.7 to 1.0 range. past 1 it falls apart fast (and doubles in generation time too). With the other samplers, going past 1 makes stuff get blurry. you may have some luck pushing cfg as high as maybe 1.2, but past that stuff starts to decohere and lose quality fast.

I use a max_shift of 1.0 and a base_shift of 0.2, however I have testers that are running it in the 1.5/0.5 range and getting good results as well, play with it and see if you get better output.

Finally, this model falls under the non-commercial Flux.Dev license. Even though it is a hybrid of both schnell and Dev, the more restrictive dev licensing takes precedence.

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