v 2.0
This is the 8-Step Turbo-LoRA for Anima-Preview2. Also works with Anima-Preview3.
Recommended Settings:
Steps: 8
CFG Scale: 1
Samplers: er_sde or res_2m, res_multistep
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:
Steps: 14
CFG Scale: 1
Samplers: er_sde or res_2m
Original workflows are included in the examples. Please experiment and share your feedback.
Just remove unnecessary disabled nodes in the examples.
Description
This is the 8-Step Turbo-LoRA for Anima-Preview2
Improved Style Diversity
Baked Negative Prompt: worst quality, low quality, score_1, score_2, blurry, jpeg artifacts, sepia, defective
Dataset: 337 distilled, cherry-picked latent images with high diversity.
FAQ
Comments (2)
great job, these work perfectly
thank you so much for the warm feedback
Details
Available On (1 platform)
Same model published on other platforms. May have additional downloads or version variants.