Model reference · open weights
Qwen-Image-Ed-2511-Lightning is an open-weight image model from lightx2v, listed in the AxForge catalogue. AxForge can bring it up on EU-owned hardware for you on request — with the licence handled where one is required.
About
Qwen-Image-Edit-2511-Lightning Model Overview Qwen-Image-Edit-2511-Lightning is a collection of optimized models tailored for image editing tasks, leveraging step distillation and quantization techniques to deliver high-efficiency inference performance. This repository hosts three core model files with distinct characteristics: Usage Instructions This model suite supports two mainstream usage frameworks, with detailed guides provided below: 1. Qwen-Image-Lightning Framework For full documentation on model usage within the Qwen-Image-Lightning ecosystem (including environment setup, inference pipelines, and customization), please refer to: Qwen-Image-Lightning GitHub Repository 2. LightX2V Framework The models are fully compatible with the LightX2V lightweight video/image generation inference framework. For step-by-step usage examples, configuration templates, and performance optimization tips, see: LightX2V Qwen Image Edit Documentation Key Optimizations - Step Distillation: The LoRA models reduce the original inference steps to just 4 steps, achieving significant speedup (≈10x faster than standard 40-step inference) while preserving image editing quality. - FP8 Quantization: The quantized base model balances performance and resource efficiency, reducing GPU memory usage by ~50% compared to FP32 while maintaining editing fidelity. Support For technical issues, feature requests, or integration questions: - Open an issue in the Qwen-Image-Lightning repo (for Qwen framework-specific questions) - Open an issue in the LightX2V repo (for LightX2V integration questions)
Summarised from the published model card. Read the full card on the HuggingFace links below.
Specifications
| Maker | lightx2v |
|---|---|
| Type | Image models |
| Variants | 1 |
| Runs with | diffusers |
| Based on | Qwen/Qwen-Image-Edit-2511 |
| Released | 2025-12-22 |
| Popularity | 355k downloads / month |
| Likes | 519 |
| Licence | Open weights |
How it works
Variants
Open weights ship in several sizes and precisions. One page, all the variants — pick the one that fits your GPU. VRAM figures are estimates from model size.
| Variant | Params | Precision | VRAM | Fits 16 GB | Weights |
|---|---|---|---|---|---|
| Qwen-Image-Edit-2511-Lightning | — | BF16 | — | — | Weights ↗ |
Using it via the API
Once AxForge deploys qwen-image-ed-2511-lightning for you, it answers on the OpenAI-compatible API — the same base URL and keys as every other model. (qwen-image-ed-2511-lightning below is illustrative; you get the exact model name on deployment.)
$ curl -sS https://api.axforge.ai/v1/images/generations \
-H "Authorization: Bearer $AXFORGE_API_KEY" \
-H "Content-Type: application/json" \
-d '{"model":"qwen-image-ed-2511-lightning","prompt":"a red bicycle","size":"1024x1024"}'
Details
Tags
Licence
Open weights under apache-2.0 — commercial use is permitted. Deploy it on AxForge EU hardware on request. Read the licence ↗