<h2 id="description">Description</h2>Steers the model towards the style of gpt image 2. It improves details, lighting and texture a lot, though the image might end up looking slightly sloppy.This is meant as an enhancer so play with lora strength to allow more style diversity :)<hr /><h2 id="note-on-versions">Note on versions</h2>v1.1 is closer to the images in the dataset, it adds a lot more texture and details, shifts the colors less, and affects the pose / composition a bit less too compared to v1. It has the downside of sticking more closely to the body and face of gpt-image-2 (which gets boring fairly quickly), and having some of the less pleasing repeating texture pattern of gpt2 image.You might just prefer the effect that v1 give if you want less texture or punchier colors.<hr /><h2 id="misc-notes">Misc Notes</h2>This is trained without a reg dataset, so the trigger word is not needed, but helps ever so slightly.I found some better optimizer settings, and fixed some bug in the custom code I added to the trainer I used between v1 and v1.1. That was most likely holding back all of my anima LoRA. Which explain the large change between the two version when trained with the exact same dataset.I might train another version since the v1.1 LoRA was still learning when the save published was auto-generated, but it started to get bad composition in the following epochs. I might need to lower the shift during training to it focuses more on the details. Though it will never be "perfect" because Qwen VAE is one of the worse VAE alongside the old SD model ones.

Style > gpt-image-2

Training Settings: batch size 4, 1024px, ~114 images per epoch, optimizer is <a target="_blank" rel="ugc" href="https://github.com/Koratahiu/Advanced_Optimizers/tree/main">SinkSGD_adv</a>I did a few multires epochs at up to 1344px after the model stabilized to bring out the details.

gpt-image-2_anima-base1_v1-1.safetensors

Anima-base1 v1.1

Anima-base1 v1.0

Anima-pre3 v1.1

Anima-pre3 v1.0

creator: agile363274It steers the model towards the style of gpt image 2. Improving details and lighting a lot, though the image might end up looking slightly sloppy.This is trained without a reg dataset, so the trigger word is not needed, but helps ever so slightly.V1.1 (visible when civitai chooses to start taggin images again) is closer to the original images, it adds a lot more texture and details, shift the colors less, and affect the pose / composition a bit less too. It has the downside of affecting the face more than v1.You might just prefer the effect that V1 give if you want less texture or more punchy colors.I found some better optimizer settings, and fixed some bug in the custom code I added to the trainer that was most likely holding back all of my anima LoRA. Which explain the large change between the two version when trained with the exact same dataset.I might train another version since the v1.1 LoRA was still learning when the save used was made, but it started to get bad composition in the following epochs. I might need to lower the shift during training to it focuses more on the details.

STYLE > gpt-image-2

Training Settings: batch size 4, 1024px, ~114 images per epoch, optimizer is SinkSGD_adv
https://github.com/Koratahiu/Advanced_Optimizers/tree/main
I did a few epochs at 1344px after the model stabilized to bring out the details.


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