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---
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license: other
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tags:
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- anima
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- fp32
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- hdr
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- krea
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- qwen image
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- style
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- vae
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---
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# HDR VAE (Anima, Krea2, QWEN Image) - BF16 - 3054865
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**Model Type**: VAE
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**Base Model**: Qwen
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**Trigger Words**: None
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**Tags**: anima, fp32, hdr, krea, qwen image, style, vae
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## Gallery
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<table>
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<tr>
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<td><video src="https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/b870d5d2-4351-4e23-a401-2b67eb83c3ea/original=true/134391104.mp4" width="200" controls muted autoplay loop></video></td>
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<td><video src="https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/9d517ba8-adcd-459d-8f44-49655ce0cbd6/original=true/134391251.mp4" width="200" controls muted autoplay loop></video></td>
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</tr>
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</table>
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## Description
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Qwen Image VAE
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==============
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* Full FP32 Training of Decoder
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* Works in ComfyUI
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Feel free to to suggest onsite support, to civitai staff. I don't think they have any agreements like with FLUX
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---
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Overview
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--------
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This model is a fine-tuned variant of the base Qwen Image VAE, modified to emphasize high-frequency detail preservation and expanded color representation, following an HDR-style reconstruction objective.
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The evaluation compares the base and HDR-tuned models using perceptual, structural, distributional, and photometric metrics over identical input data.
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---
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Evaluation Summary
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------------------
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### Perceptual Fidelity (LPIPS)
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* Base: 0.0177
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* HDR: 0.0786
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The HDR model exhibits a significant increase in perceptual distance, indicating reduced strict identity reconstruction under deep feature similarity metrics and a shift toward detail-enhancing reconstruction behavior.
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---
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### Structural Energy (Gradient Magnitude)
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* Ground Truth: 404.02 (both models)
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* Base Reconstruction: 313.46
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* HDR Reconstruction: 687.97
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The base model demonstrates strong low-pass behavior with reduced high-frequency content. In contrast, the HDR model exhibits high-frequency amplification, exceeding the structural energy of the original inputs.
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---
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### Color Distribution Support
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* Ground Truth: 33150.61 (both models)
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* Base Reconstruction: 35004.49
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* HDR Reconstruction: 40133.37
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The HDR model produces a substantially expanded color support space, indicating increased chromatic dispersion and reduced quantization collapse.
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---
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### Photometric Stability
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Brightness Bias
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* Base: 0.000351
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* HDR: 0.0000098
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Contrast Gain
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* Base: 0.9984
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* HDR: 0.99999
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Both models preserve global photometric consistency, with the HDR variant showing near-perfect affine stability.
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---
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### Channel Drift
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* Red Shift:
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+ Base: +0.0116
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+ HDR: +0.0104
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* Green Shift:
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+ Base: -0.0606
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+ HDR: -0.1856
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* Blue Shift:
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+ Base: +0.0187
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+ HDR: +0.0219
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The HDR model introduces a significantly stronger negative bias in the green channel, while maintaining comparable red and blue stability.
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---
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Interpretation
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--------------
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The base Qwen VAE behaves as a **contractive perceptual projection operator**, prioritizing smooth reconstructions and suppression of high-frequency components.
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The HDR-tuned variant transitions into a **detail-amplifying reconstruction operator**, characterized by:
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* Increased high-frequency energy
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* Expanded color manifold coverage
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* Higher perceptual divergence under LPIPS
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* Preserved global photometric invariance
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This represents a functional shift from a smoothing autoencoder regime toward a high-frequency preserving (HDR-like) reconstruction regime.
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---
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Author: [Felldude](https://civitai.com/user/Felldude)
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Model: [CivitAI Model Page](https://civitai.com/models/2718533?modelVersionId=3054865)
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Archive: [CivArchive Page](https://civarchive.com/models/2718533?modelVersionId=3054865)
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