Multiic

Multiic 

experimental visual novel with neural networks

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when I reach 1,000 subscribers, I’ll be able to make even more interesting and ambitious features

anima as an illustrious replacement?

i’ve been playing around with the anima image model these past few days and i’m absolutely thrilled with it — it works 3–4 times faster, while the results are even better
for anyone who wants to try it, here’s a small guide for now, only via comfyui. the upcoming update will also include koboldcpp support •ᴗ•
→ launch comfyui → drag the workflow .json file directly into the comfyui window → download the models and place them into the proper folders:
anima-base-v1.0.safetensors → ComfyUI/models/diffusion_models/
qwen_3_06b_base.safetensors → ComfyUI/models/text_encoders/
qwen_image_vae.safetensors → ComfyUI/models/vae/
anima-turbo-lora-v0.2.safetensors → ComfyUI/models/loras/
example workflow .json for 3 loras. if you don’t need two of them, remove them, but i recommend keeping the first one, anima-turbo-lora, for speed
json
anima_lora_3slots.json3.44 Kb
base prompt: masterpiece, best quality, incredibly absurdres, adult
loras from the workflow used for the images above:
Aesthetic Quality Modifiers - Masterpiece
Anima Detail Tweaker
nerd stuff, for anyone curious how it works:
diffusion without turbo works like this: the image is born from noise iteratively. on each step, the model “denoises” the latent a little bit. the base model needs 20–30 of these steps, and every step is a full pass through the entire model.
what turbo-lora does: it’s a distillation lora, trained separately to reproduce the result of a full 20–30 step generation, but using larger jumps along the same trajectory. the weight difference — “student minus base” — is packed into the lora. you plug it in, and anima can reach a clean image in 8–12 steps instead of 25–30 
why cfg-scale is 1 with it — and this is the second boost: cfg is the force that pulls the model toward the prompt. to do that pulling, the model needs a comparison. on every step, it draws two versions: one with the prompt and one without it, then shifts the result toward the first one. the higher the cfg, the stronger the shift 
at cfg = 1, there’s nothing to compare: the model draws only one version, and the second pass doesn’t happen at all. that’s exactly what the turbo lora needs — it was trained to follow the prompt directly, without the comparison-guidance trick 
Okay this is actually quite incredible and so fast! Can it be included in game somehow?
Multiic, Nevermind, I found your guide in game. This is truly a game changer simply because it's so fast and I personally think it generates better images with the models you suggested.
Jussi Vesa, no, i mean some of the comfyui settings will be integrated directly into the game, so u won’t need to launch comfyui separately with the anima model. it’ll start automatically in the background together with the game
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