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Qwenimagevae_liquid3844

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bf16 SafeTensor

qwenimageVAE_liquid3844.safetensors

BF16, good balance • 242.05 MB

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Type
VAE
Stats

216

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Reviews
Published

Sep 21, 2026

Base Model

Anima

Hash
AutoV2
CCB287F615
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Followers - 1664

1.7K

Downloads - 199495

199.5K

Generations - 3460805

3.5M

Maintenance Mode Badge May 2023

License:

Anima

The Anima Model is licensed by CircleStone Labs LLC. Copyright CircleStone Labs LLC. IN NO EVENT SHALL CIRCLESTONE LABS LLC BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH USE OF THIS MODEL.

Built on NVIDIA Cosmos

ANIMA35_VAE_COMPARE_LEFT_qwen_RIGHT_liquid3844_1024w_4px_centerline_00022_.png

Cross-scene VAE comparison

Compared with qwen_image_vae, liquid3844 consistently produced slightly stronger luminance contrast, saturation, color separation, and edge energy across five controlled test scenes.

Average changes across the five tests:

  • Luminance contrast: +1.24%

  • Mean saturation: +2.53%

  • Colorfulness: +3.01%

  • Mean Sobel edge strength: +2.03%

  • Sobel RMS: +3.19%

Structural differences remained small, with SSIM ranging from 0.9755 to 0.9957.

liquid3844 also shows a measurable tendency to push tonal extremes further. In the high-key test, pure-white pixels increased from 4.766% to 15.418%. In the dark test, near-black pixels increased from 24.804% to 29.917%.

This suggests that the fine-tuned VAE increases perceived contrast and edge/color separation, but may also increase highlight clipping and shadow compression in extreme scenes.

One realistic skin-detail test showed lower Laplacian variance (āˆ’13.03%) despite higher Sobel edge energy, suggesting that very fine high-frequency texture may be smoothed while broader edges become stronger.

Designed for Anima 3.8B, compatible beyond it

liquid3844 was primarily developed for Anima 3.8B, but it is not limited to that model. Since the encoder was kept frozen and only the decoder tail was fine-tuned, the original latent space was preserved.

It can also be used with Anima 2B, Anima 2.9B, Anima 3.8B, and KREA2 workflows that use the same compatible VAE latent format.

The tuning focuses on the final image decode rather than changing the latent representation, with emphasis on:
edge clarity, contrast, saturation, color separation, microtexture, and darker tonal definition.

For best results, compare liquid3844 directly with qwen_image_vae using the same latent, prompt, seed, and sampler settings.