<h3 id="note:-only-work-well-with-anima-base-v1.0-or-similar-models-heavily-fine-tuned-experimental-models-like-animayume-v1.0-(beta)-might-not-work-well.update:-animayume-v1.0-base-(final)-can-be-used-now.">NOTE: Only work well with Anima base-v1.0 or similar models, heavily fine-tuned experimental models like AnimaYume v1.0 (beta) might not work well. UPDATE: AnimaYume v1.0 Base (Final) can be used now.</h3>Supported input resolutions for v2/v2b: - 768px (trained) - 1024px (trained) - 1536px (tested, prone to error)Supported input resolutions for V1.0: - 512px (trained) - 768px (tested) - 1024px (slight error/glitch expected)With help of local llm (Qwen3.6 27B), I managed to create extensions for forge neo that add latent reference image input. you can check it <a target="_blank" rel="ugc" href="https://github.com/PurplefinNeptuna/forge-neo-latent-reference.git">here</a>.Another weird LoRA experiment.I've been playing around with <a target="_blank" rel="ugc" href="https://github.com/Mirumo0u0/sd-scripts">Mirumo0u0's sd-scripts fork</a>, specifically looking at their conditional training. Honestly, I was just curious if this could actually work for an Edit LoRA if I fed it before and after pregnant pairs, which I gathered from multiple H game CG last year for a failed attempt to train an SDXL ADDifT LoRA.Turns out, it does, and it works.This is an edit LoRA for pregnant edit. Because it was trained with target pairs that only change the belly, it wont edit the unrelated regions. It will produce some artifacts because of full latent sampling, but it's visually identical. This LoRA needs <a target="_blank" rel="ugc" href="https://github.com/Mirumo0u0/ComfyUI-Cosmos-Reference">ComfyUI-Cosmos-Reference</a> to work, and it only edits this single concept, nothing else. This might be only useful if you are lazy to draw masks for inpainting.

[Anima] Pregnant Edit LoRA

SWA from epoch 10-14. better than use those epoch results only. output belly sizes will be random, because i have lot of smaller bellies there, if i found more big sized belly, i will remove the smaller one from the datasets.

Files with SHA256: 9a34ba390f5ff2233606fb852e58a8a9219903fb6515e9c43b17640dec846aac