---
title: flux-kontext-zoom-out-lora
canonical_url: "https://www.modelscope.cn/models/reverentelusarca/flux-kontext-zoom-out-lora"
md_url: "https://www.modelscope.cn/models/reverentelusarca/flux-kontext-zoom-out-lora.md"
repository: reverentelusarca/flux-kontext-zoom-out-lora
last_updated: 2026-06-16
license: other
pipeline_tag: image-to-image
tasks:
  - image-to-image
base_model:
  - black-forest-labs/FLUX.1-Kontext-dev
base_model_relation: adapter
parameters: 76.7M
tensor_type:
  - F32
library_name:
  - lora
  - safetensors
  - pytorch
frameworks:
  - pytorch
supports_inference: img2img
downloads: 249
stars: 4
tags:
  - flux
  - kontext
  - lora
  - zoomout
  - zoom
---

# flux-kontext-zoom-out-lora

> flux-kontext-zoom-out-lora - reverentelusarca 在 ModelScope 开源的模型。Flux Kontext Zoom Out LoRA

reverentelusarca/flux-kontext-zoom-out-lora 是 ModelScope 魔搭社区上的 76.7M 参数image-to-image模型，采用 other 许可，基于 black-forest-labs/FLUX.1-Kontext-dev 构建，并支持在线推理（img2img）。

- **Repository**: reverentelusarca/flux-kontext-zoom-out-lora
- **License**: other
- **Tasks**: image-to-image
- **Parameters**: 76.7M
- **Base model**: black-forest-labs/FLUX.1-Kontext-dev
- **Online inference**: img2img
- **Tags**: flux, kontext, lora, zoomout, zoom
- **Downloads**: 249
- **Stars**: 4
- **Last updated**: 2026-06-16

Source: https://www.modelscope.cn/models/reverentelusarca/flux-kontext-zoom-out-lora

---

## Flux Kontext Zoom Out LoRA

![ex6.png](https://cdn-uploads.huggingface.co/production/uploads/661d56bdbca423783d3184d9/dFbuR6AUSu-2sUj8DDbS9.png)
![ex5.png](https://cdn-uploads.huggingface.co/production/uploads/661d56bdbca423783d3184d9/dFZ0L8974epghQYS9Pwdd.png)
![ex4.png](https://cdn-uploads.huggingface.co/production/uploads/661d56bdbca423783d3184d9/NNJzfnRGRnltZ7_LCH4Dv.png)
![ex3.png](https://cdn-uploads.huggingface.co/production/uploads/661d56bdbca423783d3184d9/bsDQul2xSxruFmOJfXZtV.png)
![ex2.png](https://cdn-uploads.huggingface.co/production/uploads/661d56bdbca423783d3184d9/sj3m6n5S96jFOivTyErCu.png)
![ex1.png](https://cdn-uploads.huggingface.co/production/uploads/661d56bdbca423783d3184d9/Y26G4_PkeexSGpQ0Y3QRX.png)



## Details


After dozens of experiments I’ve settled on the version that’s giving me the most reliable zoom‑outs. I tried training separate LoRAs for extreme, large, and medium zoom levels, but those models were too unpredictable—so I’m sticking with this single “all‑rounder.”

Known caveats

Out‑paint artifacts – some images pick up chunky/pixelated edges in the newly generated areas.

Human close‑ups – very tight crops of faces, hands, or bodies can warp badly.

No precise zoom slider – you can’t tell it “zoom out 10×”; results vary, so experiment.

## How to prompt
Use the base prompt below, then bolt on whatever you’d like to see in the expanded frame. Example:

Zoom out and keep the visible subject exactly the same in position, scale and appearance. Expand the canvas evenly in every direction and fill all new areas with a natural continuation of the scene, matching the original lighting, perspective and photographic style. 


You can change the target latent image size different from your source image size. For example; if your image is vertical, you can expand/apply the zoom out horizontally. Feel free to check the example images.

LoRA also works with Nunchaku workflows.

That’s it—give it a spin and let me know how it works for you!

LoRA trained with fal.ai Flux Kontext LoRA Trainer, with 70+ pairs, 0.0003 LR, 3000 steps