---
title: flux-lora-korea-palace
canonical_url: "https://www.modelscope.cn/models/AI-ModelScope/flux-lora-korea-palace"
md_url: "https://www.modelscope.cn/models/AI-ModelScope/flux-lora-korea-palace.md"
repository: AI-ModelScope/flux-lora-korea-palace
last_updated: 2024-12-08
license: other
pipeline_tag: text-to-image-synthesis
tasks:
  - text-to-image-synthesis
base_model:
  - black-forest-labs/FLUX.1-dev
base_model_relation: adapter
parameters: 85.9M
tensor_type:
  - F16
library_name:
  - pytorch
  - lora
  - diffusers
  - safetensors
frameworks:
  - pytorch
downloads: 1175
stars: 0
tags:
  - text-to-image
  - flux
  - lora
  - diffusers
  - "template:sd-lora"
  - ai-toolkit
---

# flux-lora-korea-palace

> flux-lora-korea-palace - AI-ModelScope 在 ModelScope 开源的模型。flux-lora-korea-palace

AI-ModelScope/flux-lora-korea-palace 是 ModelScope 魔搭社区上的 85.9M 参数text-to-image-synthesis模型，采用 other 许可，基于 black-forest-labs/FLUX.1-dev 构建。

- **Repository**: AI-ModelScope/flux-lora-korea-palace
- **License**: other
- **Tasks**: text-to-image-synthesis
- **Parameters**: 85.9M
- **Base model**: black-forest-labs/FLUX.1-dev
- **Tags**: text-to-image, flux, lora, diffusers, template:sd-lora, ai-toolkit
- **Downloads**: 1175
- **Stars**: 0
- **Last updated**: 2024-12-08

Source: https://www.modelscope.cn/models/AI-ModelScope/flux-lora-korea-palace

---

# flux-lora-korea-palace

<Gallery />

## Trigger words

You should use `korea palace` to trigger the image generation.

## Download model and use it with ComfyUI, AUTOMATIC1111, SD.Next, Invoke AI, etc.

Weights for this model are available in Safetensors format.

[Download](/openfree/flux-lora-korea-palace/tree/main) them in the Files & versions tab.

## Use it with the [🧨 diffusers library](https://github.com/huggingface/diffusers)

```py
from diffusers import AutoPipelineForText2Image
import torch

pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.bfloat16).to('cuda')
pipeline.load_lora_weights('openfree/flux-lora-korea-palace', weight_name='flux-lora-korea-palace.safetensors')
image = pipeline('Gyeongbokgung Palace in Seoul, South Korea. It is a large building with stairs leading up to the entrance, surrounded by a wall. In the background, there are other buildings, mountains, and a clear blue sky. [trigger]').images[0]
image.save("my_image.png")
```

For more details, including weighting, merging and fusing LoRAs, check the [documentation on loading LoRAs in diffusers](https://huggingface.co/docs/diffusers/main/en/using-diffusers/loading_adapters)