qwen-image-edit-2509-fork

471
1 language
dataset:mit-han-lab/svdquant-datasets
by
chaitnya26
Image Model
OTHER
2411.05007B params
New
471 downloads
Early-stage
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Edge AI:
Mobile
Laptop
Server
5390GB+ RAM
Mobile
Laptop
Server
Quick Summary

This repository contains Nunchaku-quantized versions of Qwen-Image-Edit-2509, an image-editing model based on Qwen-Image, advances in complex text rendering.

Device Compatibility

Mobile
4-6GB RAM
Laptop
16GB RAM
Server
GPU
Minimum Recommended
2246GB+ RAM

Training Data Analysis

🔵 Good (6.0/10)

Researched training datasets used by qwen-image-edit-2509-fork with quality assessment

Specialized For

general
multilingual

Training Datasets (1)

c4
🔵 6/10
general
multilingual
Key Strengths
  • •Scale and Accessibility: 750GB of publicly available, filtered text
  • •Systematic Filtering: Documented heuristics enable reproducibility
  • •Language Diversity: Despite English-only, captures diverse writing styles
Considerations
  • •English-Only: Limits multilingual applications
  • •Filtering Limitations: Offensive content and low-quality text remain despite filtering

Explore our comprehensive training dataset analysis

View All Datasets

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