v 2.0 This is the 8-Step Turbo-LoRA for Anima-Preview2. Also works with Anima-Preview3.Recommended Settings:<ul><li>Steps: 8</li><li>CFG Scale: 1</li><li>Samplers: er_sde or res_2m, res_multistep</li></ul>Original workflows are included in the examples. Please experiment and share your feedback. Training was conducted using 100% renewable energy. v 1.0 This is the 14-Step Turbo-LoRA for Anima-Preview2. Still a bit experimental, this fun version demonstrates turbo-training capabilities within the Anima architecture. It was distilled on 227 Anima-Preview-2 latents at 2000 steps. Recommended Settings:<ul><li>Steps: 14</li><li>CFG Scale: 1</li><li>Samplers: er_sde or res_2m</li></ul>Original workflows are included in the examples. Please experiment and share your feedback.Just remove unnecessary disabled nodes in the examples.

Anima-Preview2-Turbo-Lora

This is the 8-Step Turbo-LoRA for Anima-Preview2 <ul><li>Improved Style Diversity</li><li>Baked Negative Prompt: worst quality, low quality, score_1, score_2, blurry, jpeg artifacts, sepia, defective</li><li>Dataset: 337 distilled, cherry-picked latent images with high diversity.</li></ul>

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