This is early experimental LoRa for researching borders of training the concept of strict mirror.
I think it is possible because SDXL can draw mirror floors.
Status
IL V2: this LoRa version can increase probability (+24% for 8-20 steps) of getting strict reflections in a new generation. Increasing steps is refining the results. Increasing LoRa's weight can refine the results (60% success with weight=2.0).
IL V1: this LoRa version can slightly increase probability (+10% for 4 dmd2-steps, +12-16% for 8 dmd2-steps) to find strict reflections in a new generation. Increasing steps is refining the results.
I go to the next step of the experiment.
Changelog
IL V2
Added negative tokens:
x_out_of_mirror (protects against a reflection outside mirror's bounds)
x_differect_reflection (supress a wrong symmetry)
different reflection (same the x_out_of_mirror but danbooru tag)
Added ai-generated images with negative tokens to dataset.
60 epochs instead of 10 epochs of version 1
Trained with cleaned dictionary: x_mirror_reflection, x_reflection_face, x_reflection_facing_aside, x_reflection_facing_away, reflection, mirror, hand on mirror, full-length mirror, broken mirror, reflection focus, looking at mirror.
Usage
Connect LoRa in your workflow and then activate by word x_mirror_reflection in your prompt. Next choose one of these controls for the position of the character's face relative to the mirror:
x_reflection_facing_away
x_reflection_facing_aside
x_reflection_face
Now you can use negative prompt (+8% to find good mirroring in IL V2): x_out_of_mirror, x_differect_reflection, different reflection
Description
1st iteration.
I used DMD2 and SPO LoRas as accelerators, TCD sampler, sgm uniform as scheduler, [holy mix] Illustrous model.
It isn't strict enough but I hate to wait.
Metrics:
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4 steps, with lora, 100 runs
prompt:
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artist, location, character,
masterpiece, best quality, amazing quality, very aesthetic, absurdres, newest,
(safe rating),
x_mirror_reflection, {x_reflection_face, {|touching mirror}|x_reflection_facing_aside|x_reflection_facing_away},
mirror, reflection, {1girl|1girl|__character__, 2girls}, symmetrical reflection, pose is symmetrical for the reflection,
{dynamic pose|lazy pose|sitting}
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total:
14% - strict reflection
9% - strict reflection but outside mirror borders
51% - wrong symmetry
26% - trash (prompt misunderstanding)
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4 steps, with lora, 100 runs
same prompt
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total:
4% - strict reflection
6% - strict reflection but outside mirror borders
21% - wrong symmetry
69% - trash (prompt misunderstanding)
-------------------------------------
Hypothesis: low steps is not enough for generate sophisticated concepts.
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8 steps, with lora, 25 runs
same prompt
-------------------------------------
total:
28% - strict reflection
16% - strict reflection but outside mirror borders
32% - wrong symmetry
24% - trash (prompt misunderstanding)
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8 steps, without lora, 25 runs
same prompt
-------------------------------------
total:
16% - strict reflection
4% - strict reflection but outside mirror borders
24% - wrong symmetry
56% - trash (prompt misunderstanding)
-------------------------------------
Hypothesis: prompt generates too many trash due to "symmetrical" tokens.
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8 steps, with lora, 25 runs
prompt:
-------------------------------------
masterpiece, best quality, amazing quality, very aesthetic, absurdres, newest,
(safe rating),
x_mirror_reflection, {x_reflection_face, {|touching mirror}|x_reflection_facing_aside|x_reflection_facing_away},
mirror, reflection, {1girl|1girl|__character__, 2girls}
{dynamic pose|lazy pose|sitting}
-------------------------------------
total:
28% - strict reflection
12% - strict reflection but outside mirror borders
56% - wrong symmetry
4% - trash (prompt misunderstanding)
-------------------------------------
-------------------------------------
8 steps, without lora, 25 runs
same prompt
-------------------------------------
total:
12% - strict reflection
0% - strict reflection but outside mirror borders
16% - wrong symmetry
72% - trash (prompt misunderstanding)
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Conclusions: this LoRa version slightly increase probability (+10% for 4 steps, +12-16%) to find strict reflections in a new generation. Increasing steps is refining the results.
I go to the next step of the experiment.
FAQ
Details
Available On (1 platform)
Same model published on other platforms. May have additional downloads or version variants.