Autohelper generates the same pictures about sd-webui-model-mixer

[Enferlain]

I'm not sure why, but same issue for me. I did mbw for 7 hours and it made 2200 images but it just repeated the same 10 pics sadge

I ran "A × (1 - α0) + B × α0 + dare_weights(diff C) × α1" with normal calcmode, use advanced mbw mode, and selected blocks "ALL" 0.5 with pattern search and simulated annealing optimizer

[Enferlain]

mbw mode with 7 hours? wow. I didn't do that much.

all possible optimizers are not tested yet. some optimizer won't work at all. other optimizer will work as expected. and image scoring method also important factor.

anyway, I guess, there are some bug exist to prevent it from working correctly.

I recommend you partial optimizing, for example:

• select specific model - select only "A" model to optimize.
• select specific blocks - select only "OUT00, OUT01, OUT03,..."

default setting will try to vary all possible blocks and models -> it will consume to much time/GPU power without much visible improvement.

thank you for your reporting!

Yeah I only tried bayesian and simulated annealing and pattern search so far. I also did a run with not specifying alpha values for any of the weights, in case it was locking them in somehow.

Another thing to note is that I usually get a result that says "best iteration: 0"

This was the 7 hour run: I set search time (min) to 200, and I also set search iteration to 200. I did it when I went to sleep

Results: 'hyper_score'
   Best score: 0.5472393854351669
   Best parameter set:
      'model_b.BASE'  : 0.58
      'model_b.IN00'  : 0.41
      'model_b.IN01'  : 0.42
      'model_b.IN02'  : 0.18
      'model_b.IN03'  : 0.54
      'model_b.IN04'  : 0.44
      'model_b.IN05'  : 0.1
      'model_b.IN06'  : 0.31
      'model_b.IN07'  : 0.23
      'model_b.IN08'  : 0.4
      'model_b.M00'   : 0.54
      'model_b.OUT00' : 0.28
      'model_b.OUT01' : 0.14
      'model_b.OUT02' : 0.21
      'model_b.OUT03' : 0.13
      'model_b.OUT04' : 0.61
      'model_b.OUT05' : 0.38
      'model_b.OUT06' : 0.55
      'model_b.OUT07' : 0.49
      'model_b.OUT08' : 0.57
      'model_c.BASE'  : 0.53
      'model_c.IN00'  : 0.53
      'model_c.IN01'  : 0.23
      'model_c.IN02'  : 0.24
      'model_c.IN03'  : 0.21
      'model_c.IN04'  : 0.55
      'model_c.IN05'  : 0.58
      'model_c.IN06'  : 0.17
      'model_c.IN07'  : 0.3
      'model_c.IN08'  : 0.46
      'model_c.M00'   : 0.41
      'model_c.OUT00' : 0.59
      'model_c.OUT01' : 0.55
      'model_c.OUT02' : 0.37
      'model_c.OUT03' : 0.59
      'model_c.OUT04' : 0.19
      'model_c.OUT05' : 0.34
      'model_c.OUT06' : 0.16
      'model_c.OUT07' : 0.14
      'model_c.OUT08' : 0.39
   Best iteration: 0

   Random seed: 876348280

   Evaluation time   : 26219.17984700203 sec    [100.0 %]
   Optimization time : 0.14667487144470215 sec    [0.0 %]
   Iteration time    : 26219.326521873474 sec    [120.27 sec/iter]

I'll try the last update, I forgot to pull it. Was on bb3808b

Anyways, it's a great extension and I really like the auto merger implementation. It's still the least explored part of merging even though it has so much potential.

[wkpark]

commit bb3808b was the regression bug. it prevents the merge from working properly.
(I guess, that's why it fails to auto merge)

[wkpark]

did you try to use MBW mode? Internally, Auto merger helper utilizes MBW weights.
(simple alpha weight will not work currently)

[miasik]

Could you please give a screenshot with settings to try?

[miasik]

did you try to use MBW mode? Internally, Auto merger helper utilizes MBW weights. (simple alpha weight will not work currently)

Yes. i did. If it had resolved the issue I haven't reported here -)
I'm sure that AutoHelper has to ignore the simple mode because using it is almost useless.

[wkpark]

non MBW mode fixed now. thank you for your reporting

[wkpark]

mbw mode with 7 hours? wow. I didn't do that much.

all possible optimizers are not tested yet. some optimizer won't work at all. other optimizer will work as expected.
and image scoring method also important factor.

anyway, I guess, there are some bug exist to prevent it from working correctly.

I recommend you partial optimizing, for example:

• select specific model - select only "A" model to optimize.
• select specific blocks - select only "OUT00, OUT01, OUT03,..."

default setting will try to vary all possible blocks and models -> it will consume to much time/GPU power without much visible improvement.

thank you for your reporting!

[wkpark]

and 2-days ago, the following fix apply, d0710bd

before this fix. merge process totally not work at all. please check your version before try to use auto merger