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OpenOneRec/Kelix-AEDIT

AI model by OpenOneRec

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Paper | GitHub | Kelix-DiT Kelix-AEDIT reconstructs images from discrete visual tokens using a customized SANA diffusion transformer. This repository releases the DiT weights, an inference script, and its dependencies. The inference pipeline reuses the image tokenizer from Kelix-SFT and the DC-AE VAE from SANA1.5. These components are loaded separately and are not duplicated in this repository. Unlike Kelix-DiT, which takes Kelix-LLM hidden states as its condition, Kelix-AEDIT operates on quantized image features and supports image reconstruction without the LLM. Requires an NVIDIA CUDA GPU and a FlashAttention build compatible with your PyTorch and CUDA environment. The inference script uses the model implementations in the Kelix code repository. Run from the Kelix repository root. The tokenizer and VAE are downloaded automatically on first use. Only the Kelix-SFT shards containing the visual tokenizer are…

OpenOneRec/Kelix-AEDIT on Hugging Face A short preview, not the full document.

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Inside the original model card — Document outline
  1. Kelix-AEDIT
  2. Introduction
  3. Model Overview
  4. Usage
  5. Installation
  6. Image Reconstruction
  7. Decode Image Tokens
  8. Citation
  9. License

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Model overview

OpenOneRec/Kelix-AEDIT is a task-unspecified model repository published by OpenOneRec on Hugging Face. A library was not reported.

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Task
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Recent downloads (30 days)
0
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Hugging Face trending score
0
Reported safetensors parameters
1,606,689,952
Architecture
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License
Not reported — check the model card
Access
Not gated by Hugging Face
Created
2026-11-09T06:28:14.000Z
Last modified
2026-11-09T06:46:40.000Z

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Reported languages: en

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