---
title: FLUX.1-dev-LoRA-Ghibli
canonical_url: "https://www.modelscope.cn/models/InstantX/FLUX.1-dev-LoRA-Ghibli"
md_url: "https://www.modelscope.cn/models/InstantX/FLUX.1-dev-LoRA-Ghibli.md"
repository: InstantX/FLUX.1-dev-LoRA-Ghibli
last_updated: 2025-04-03
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
language:
  - en
downloads: 653
stars: 2
tags:
  - text-to-image
  - stable-diffusion
  - lora
  - diffusers
  - image-generation
  - flux
  - safetensors
---

# FLUX.1-dev-LoRA-Ghibli

> FLUX.1-dev-LoRA-Ghibli - InstantX 在 ModelScope 开源的模型。FLUX.1-dev-LoRA-Ghibli

InstantX/FLUX.1-dev-LoRA-Ghibli 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**: InstantX/FLUX.1-dev-LoRA-Ghibli
- **License**: other
- **Tasks**: text-to-image-synthesis
- **Parameters**: 85.9M
- **Base model**: black-forest-labs/FLUX.1-dev
- **Tags**: text-to-image, stable-diffusion, lora, diffusers, image-generation, flux, safetensors
- **Downloads**: 653
- **Stars**: 2
- **Last updated**: 2025-04-03

Source: https://www.modelscope.cn/models/InstantX/FLUX.1-dev-LoRA-Ghibli

---

# FLUX.1-dev-LoRA-Ghibli

This is a Ghibli style LoRA trained on FLUX.1-dev.

<Gallery />

## Trigger words

You should use `ghibli style` to trigger the image generation.

## Inference
```python
import torch
from diffusers import FluxPipeline

pipe = FluxPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", torch_dtype=torch.bfloat16)
pipe.load_lora_weights("InstantX/FLUX.1-dev-LoRA-Ghibli", weight_name="ghibli_style.safetensors")
pipe.fuse_lora(lora_scale=1.0)
pipe.to("cuda")

prompt = "ghibli style, a shepherd boy floating on a wooly cloud-whale, holding a glowing dandelion staff to guide sheep-shaped cumulus, miniature storm clouds grazing nearby, his patched jacket flapping in high-altitude winds, aurora-like ribbons in peach and lavender stretching across the sky"

image = pipe(prompt, 
             num_inference_steps=24, 
             guidance_scale=3.5,
             width=960, height=1280,
            ).images[0]
image.save(f"example.png")
```