
V.3.0
Merged the the two old models ( different ratios ) with a new mech based model i'm currently training to see what would happen.
Will add more pics later. For now, just reused the prompts from V.2.0 for comparison.
e/: Pff, cross-posting fked again. Seems to be an issue with merged LoRAs and A1111. Just another thing i can't do anymore. HASH ID doesn't match and i even re-downloaded the file from Civit.
Any other LoRA's used are still cross posted. CivitAI generated images should be fine to.
V2.0
Just a little test to see if the fp8 training setting in Kohya works... well it does. I personally don't need that setting, but memory usage went from 11.8GB down to like 8.7GB. I don't use the memory optimization option, only xformers, gradient checkpoint and cache latents. I guess with memory optimization it could go under 8GB.
My own base model is getting a bit to "all knowing" when it comes to strange stuff, so i decided to use the common models again, at least for image reproduction purpose.
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More pics added ( especially mechas )
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Bit more flexible ( not there yet, don't have much time at the moment for generating, training or Photoshop )
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It's not really intended for robots/mechs/cyborgs...well, wasn't intended to do the stuff which it is doing right now in the first place, but it should add some variety to normal outputs.
V1.0
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Not really were i want it to be, need to change a few things.
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Strength of 0.8 might be to high in some cases, 0.7 or 0.6 should to or it will overpower everything. Of course that depends on how long your prompt is.
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Even though i use Tank a few times, its not trained on pictures of tanks as a whole, only the plating of armored vehicles, planes an everything that could count as armor.
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As always i will test it here in there.
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Was actually intended to do something else, so it tends to do close ups, depending on the subject.
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Already made a few images while testing in my gallery.
描述:
训练词语: amredpll,armored
名称: - SDXL - amredpll_armored_style_V1.0.safetensors
大小 (KB): 223100
类型: Model
Pickle 扫描结果: Success
Pickle 扫描信息: No Pickle imports
病毒扫描结果: Success