ANIMA-2.9B-Turbo-AIO - V5

ANIMA-2.9B-Turbo-AIO

CHECKPOINT
Reprint


Updated:

ANIMA-2.9B-Turbo-AIO by user_834856151291006371 on Tensor.Art
ANIMA-2.9B-Turbo-AIO by user_834856151291006371 on Tensor.Art
ANIMA-2.9B-Turbo-AIO by user_834856151291006371 on Tensor.Art
ANIMA-2.9B-Turbo-AIO by user_834856151291006371 on Tensor.Art
ANIMA-2.9B-Turbo-AIO by user_834856151291006371 on Tensor.Art
ANIMA-2.9B-Turbo-AIO by user_834856151291006371 on Tensor.Art
ANIMA-2.9B-Turbo-AIO by user_834856151291006371 on Tensor.Art
ANIMA-2.9B-Turbo-AIO by user_834856151291006371 on Tensor.Art
ANIMA-2.9B-Turbo-AIO by user_834856151291006371 on Tensor.Art

This is the converted to ANIMA 2.9B version of my ANIMA-V1-Turbo-AIO.

For now, only V5, if a previous version is requested, i'll see what i can do ;-)

I'll provide an INT8_convrot version asap too. Upload is on-going. Conversion done this way:

convert-to-quant -i ANIMA-29B-Turbo-AIO_V5.safetensors -o ANIMA-29B-Turbo-AIO_V5-INT8.safetensors --int8 --convrot --convrot-group-size 256 --scaling_mode row --comfy_quant --save-quant-metadata --simple --anima --exclude-layers '(first_stage_model|cond_stage_model)'

A quick generation and comparaison between two pictures generated using BF16 and INT8 convrot yielded only very small differences.

And it is actually faster to generate using INT8_convrot!!! (2.3s/it vs 1.4s/it on my RTX 3060).

Version Detail

Anima
16

Project Permissions

Model reprinted from : https://civitai.red/models/2989459

Reprinted models are for communication and learning purposes only, not for commercial use. Original authors can contact us to transfer the models through our Discord channel --- #claim-models.

Related Posts