2x APISR RRDB GAN Generator Onnx by Xenova

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  Apisr   Image-to-image   Onnx   Region:us   Super-resolution   Swin2sr   Transformers.js

2x APISR RRDB GAN Generator Onnx Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
2x APISR RRDB GAN Generator Onnx (Xenova/2x_APISR_RRDB_GAN_generator-onnx)
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2x APISR RRDB GAN Generator Onnx Parameters and Internals

Model Type 
image-to-image, super-resolution
Use Cases 
Areas:
research, commercial applications
Applications:
image upscaling, super-resolution
Considerations:
Web-ready models are recommended to be converted to ONNX using HuggingFace Optimum.
Additional Notes 
Separate repo for ONNX weights is temporary until WebML gains more traction.
Training Details 
Model Architecture:
ONNX weights compatible with Transformers.js
Input Output 
Input Format:
image format
Accepted Modalities:
image
Output Format:
upscaled image format (e.g., png)
LLM Name2x APISR RRDB GAN Generator Onnx
Repository ๐Ÿค—https://huggingface.co/Xenova/2x_APISR_RRDB_GAN_generator-onnx 
Updated2025-09-23
MaintainerXenova
Model Typeswin2sr
Model ArchitectureAutoModel
Licensegpl-3.0

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Note: green Score (e.g. "73.2") means that the model is better than Xenova/2x_APISR_RRDB_GAN_generator-onnx.

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
Text Summarization and Feature Extraction  
Code Generation  
Multi-Language Support and Translation  

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