Model reference · open weights

Anything2Real

Anything2Real is an open-weight image model from lrzjason, 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 lrzjason 1 variants 164k downloads/mo
Request this model on EU hardware All served models Not on the shared API today — deployed on request.

About

What Anything2Real is

[RELEASE] New Version of Anything2Real LoRA - Transform Any Art Style to Photorealistic Images Based On Flux2 Klein f2kanything2real.safetensors is more 3D like version f2kanything2reala.safetensors based on f2kanything2real.safetensors to adjust the realistic style [RELEASE] New Version of Anything2Real LoRA - Transform Any Art Style to Photorealistic Images Based On Qwen Edit 2511 Hey Stable Diffusion community! 👋 I'm excited to share the new version of Anything2Real family, Anything2Real 2601 A. Anything2Real 2601 A is an adjusted version based on Anything2Real 2601 and remixed the layer weight of anything2real alpha. Anything2Real 2601 is kinda weak of eyes transformation and anything2real alpha is quite good at light and shadow but weak at color. Anything2Real 2601 A is a more balanced version between "respect to original" and "realistic environemnt" Alpha Dataset: lrzjason/Anything2Realdemodataset 🔗 Civitai: https://civitai.com/models/2121900/qwen-edit-2511-anything2real-2601 🎯 What It Does This LoRA is designed to convert illustrations, anime, cartoons, paintings, and other non-photorealistic images into convincing photographs while preserving the original composition and content. ⚙️ How to Use - Base Model: Qwen Edit 2511 (mmdit editing model) - Recommended Strength: 1-0.75 - Prompt Template: - Adding detailed descriptions helps the model better understand content and produces superior transformations (though it works even without detailed prompts!) 📺 Example Workflow Check out this practical implementation example on RunningHub: https://www.runninghub.ai/post/1988649905554112513/?inviteCode=rh-v1279 Node Information: - 21 nodes including CLIPLoader, ConditioningZeroOut, ImageScaleBy, KSampler, LoadImage, LoraLoaderModelOnly, and specialized Qwen Edit nodes - Powered by RTX 4090 Series 📌 Important Notes - “realism” is inherently subjective, first modulate strength or switch base models rather than further increasing the LoRA weight. - Should realism remain insufficient, blend with an additional photorealistic LoRA and adjust to taste. - Your feedback and examples would be incredibly valuable for future improvements! 💡 Why I Created This I wanted to bridg

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

Specifications

What it is

Makerlrzjason
TypeImage models
Variants1
Runs withdiffusers
Based onQwen/Qwen-Image-Edit-2511
Released2026-01-03
Popularity164k downloads / month
Likes135
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
Anything2RealBF16Weights ↗

Using it via the API

Call it like any OpenAI endpoint

Once AxForge deploys anything2real for you, it answers on the OpenAI-compatible API — the same base URL and keys as every other model. (anything2real 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":"anything2real","prompt":"a red bicycle","size":"1024x1024"}'

Details

Languages, data & research

Tags

diffusers lora 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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