Model reference · open weights

QIE-2511-MP-AnyLight

QIE-2511-MP-AnyLight is an open-weight image model from lilylilith, 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.

Image lilylilith 1 variants 23k downloads/mo
Request this model on EU hardware All served models Not on the shared API today — deployed on request.

About

What QIE-2511-MP-AnyLight is

☕️ <a href="https://ko-fi.com/lilllithhhhh"Ko-fi (support me)</a Introduction Lighting is the hardest thing about AI image generation by far. Even if you specify the lighting direction with keywords, the level of control we have for lighting is primitive to say the least. It is very hard to get the desired lighting that you are actually envisioning, not just generic lighting setups like from the left, right, etc, but actual complex lighting setups that are hard to specify in just words. Professionals and people who are serious with getting the right results require it, because currently lighting is for all intents and purposes completely random. You cannot specify the distance the AI generates the light (eg. 40ft away), nor the specific X,Y,Z angle of the light. There have been other attempts to light up a scene, such as Lighting Remap Alpha0.2, which help position lights in various positions. This does help, however, it still falls to the pitfalls mentioned previously since it's based on a 2d canvas. Wouldn't it be better to have some sort of semi real-time lighting setup where you can roughly make sure the character is lit up the way that you want it while not being bound to two-dimensions? Well, this is what this LoRA attempts to do. How is this possible? Well, with a mix of a couple LoRAs (Material Preview style), Trellis2 model generation (or Hunyuan 2.1/3), and Blender, we can have more precise control over the lighting in the scene. NOTE: This model is trained through the use Material Preview style renders, meaning that the use of other images in other styles is unsupported currently. Also, this LoRA is geared towards pinup-like compositions. How do you use it? In order to use it, you must have: 1). An image preprocessed with my Material Preview style LoRA. (Image 1) and 2). A Blender render (Cycles or Eeeve, doesn't matter) of a Trellis2 or Hunyuan 3D model of the character in the same pose. Light up your scene the way you fancy it in the Blender viewport. (Image 2) Once you have those two images, put them into Qwen Image Edit 2511 and only use the AnyLight LoRA with the following prompt: Use at strength 1. While you can use this with the Lightx2v 4-Step

Summarised from the published model card. Read the full card on the HuggingFace links below.

Specifications

What it is

Makerlilylilith
TypeImage models
Variants1
Runs withdiffusers
Based onQwen/Qwen-Image-Edit-2511
Released2026-01-20
Popularity23k downloads / month
Likes32
LicenceOpen weights

How it works

How image models work

Text promptwhat to makeText encoderunderstands itDiffusion stepsdenoise to pixelsImagePNG / JPEGA diffusion model starts from noise and denoises it, guided by your prompt, into a finished image.

Variants

Sizes & precisions

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.

VariantParamsPrecisionVRAMFits 16 GBWeights
QIE-2511-MP-AnyLightBF16Weights ↗

Using it via the API

Call it like any OpenAI endpoint

Once AxForge deploys qie-2511-mp-anylight for you, it answers on the OpenAI-compatible API — the same base URL and keys as every other model. (qie-2511-mp-anylight 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":"qie-2511-mp-anylight","prompt":"a red bicycle","size":"1024x1024"}'

Details

Languages, data & research

Tags

diffusers LoRA lora Qwen-Image-Edit Qwen-Image image-to-image

Licence

Open weights

Open weights under apache-2.0 — commercial use is permitted. Deploy it on AxForge EU hardware on request. Read the licence ↗

Sources

Weights & code

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