---
title: FLUX.1-Wireframe-dev-lora
canonical_url: "https://www.modelscope.cn/models/manycore-research/FLUX.1-Wireframe-dev-lora"
md_url: "https://www.modelscope.cn/models/manycore-research/FLUX.1-Wireframe-dev-lora.md"
repository: manycore-research/FLUX.1-Wireframe-dev-lora
last_updated: 2025-10-18
license: other
pipeline_tag: image-to-image
tasks:
  - image-to-image
base_model:
  - black-forest-labs/FLUX.1-dev
base_model_relation: adapter
parameters: 523.8M
tensor_type:
  - BF16
library_name:
  - pytorch
  - diffusers
  - lora
  - safetensors
frameworks:
  - pytorch
downloads: 194
stars: 1
tags:
  - flux
  - flux-diffusers
  - image-to-image
  - diffusers
  - lora
---

# FLUX.1-Wireframe-dev-lora

> FLUX.1-Wireframe-dev-lora - manycore-research 在 ModelScope 开源的模型。FLUX.1-Wireframe-dev-lora for SpatialGen

manycore-research/FLUX.1-Wireframe-dev-lora 是 ModelScope 魔搭社区上的 523.8M 参数image-to-image模型，采用 other 许可，基于 black-forest-labs/FLUX.1-dev 构建。

- **Repository**: manycore-research/FLUX.1-Wireframe-dev-lora
- **License**: other
- **Tasks**: image-to-image
- **Parameters**: 523.8M
- **Base model**: black-forest-labs/FLUX.1-dev
- **Tags**: flux, flux-diffusers, image-to-image, diffusers, lora
- **Downloads**: 194
- **Stars**: 1
- **Last updated**: 2025-10-18

Source: https://www.modelscope.cn/models/manycore-research/FLUX.1-Wireframe-dev-lora

---

# FLUX.1-Wireframe-dev-lora for SpatialGen

`FLUX.1 Wireframe [dev] LoRA` is an improved version of [FLUX.1-Layout-ControlNet](https://huggingface.co/manycore-research/FLUX.1-Layout-ControlNet), which serves as a key component of the [SpatialGen](https://manycore-research.github.io/SpatialGen/). `FLUX.1 Wireframe [dev] LoRA` is a LoRA for [FLUX.1 [dev]](https://huggingface.co/black-forest-labs/FLUX.1-dev), capable of generating an image based on a text description while following the structure of the given wireframe image.

*   📖 [Paper: SPATIALGEN: Layout-guided 3D Indoor Scene Generation](https://huggingface.co/papers/2509.14981)
*   🌐 [Project Page](https://manycore-research.github.io/SpatialGen)
*   💻 [Code Repository](https://github.com/manycore-research/SpatialGen)

<Gallery />

## Diffusers

```python
import torch
from diffusers.pipelines.flux.pipeline_flux_control import FluxControlPipeline
from diffusers.utils import load_image

pipe = FluxControlPipeline.from_pretrained(
    "black-forest-labs/FLUX.1-dev",
    torch_dtype=torch.bfloat16,
)
pipe.load_lora_weights("manycore-research/FLUX.1-Wireframe-dev-lora")
pipe = pipe.to("cuda")

control_image = load_image(
    "https://huggingface.co/manycore-research/FLUX.1-Wireframe-dev-lora/resolve/main/assets/input1.png"
)
prompt = "A modern living room features a clean and minimalist design. On the left, a light beige wall houses a built-in shelving unit with a textured, neutral finish, adorned with a few decorative items. The right wall showcases a ribbed, light gray panel with a built-in storage unit below. The floor is covered with a light beige carpet, which extends into the midground where a beige sofa with patterned throw pillows is positioned. A small round ottoman sits in front of the sofa, adding a cozy touch. In the background, large windows with sheer curtains allow natural light to flood the room, highlighting the light gray curtains and the greenery outside. A tall, narrow plant stand with a potted plant stands beside the window, adding a touch of nature. The ceiling features a circular chandelier with a modern design, casting a warm glow over the space."

image = pipe(
    prompt=prompt,
    control_image=control_image,
    num_inference_steps=20,
    generator=torch.Generator(device="cpu").manual_seed(42),
    height=512,
    width=512,
    guidance_scale=10.0,
).images[0]
image.save("output.png")
```

## LICENSE

FLUX.1-Wireframe-dev-lora is licensed under the [FLUX.1-dev Non-Commercial License](https://github.com/black-forest-labs/flux/blob/main/model_licenses/LICENSE-FLUX1-dev).