Sd Vae Ft Mse Flax by pcuenq

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  Region:us   Stable-diffusion   Stable-diffusion-diffusers   Text-to-image

Sd Vae Ft Mse Flax Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Sd Vae Ft Mse Flax (pcuenq/sd-vae-ft-mse-flax)
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Sd Vae Ft Mse Flax Parameters and Internals

Model Type 
autoencoder
Additional Notes 
The models ft-EMA and ft-MSE were finetuned for improved face reconstruction while maintaining compatibility with existing models.
Training Details 
Data Sources:
LAION-Aesthetics, LAION-Humans, OpenImages
Methodology:
Fine-tuning
Hardware Used:
16 A100 GPUs
Model Architecture:
kl-f8 autoencoder
LLM NameSd Vae Ft Mse Flax
Repository ๐Ÿค—https://huggingface.co/pcuenq/sd-vae-ft-mse-flax 
Updated2025-05-19
Maintainerpcuenq
Model ArchitectureAutoModel
Licensemit

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Note: green Score (e.g. "73.2") means that the model is better than pcuenq/sd-vae-ft-mse-flax.

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124