---
language:
- en
library_name: diffusers
tags:
- stable-diffusion
- lora
---

# Model Card for svjack/concept-caption-3m-sd-lora-en

## Installation 
```bash
pip install -U diffusers
pip install transformers
```

## Usage 
```python
from diffusers import StableDiffusionPipeline
import torch

pipe = StableDiffusionPipeline.from_pretrained("CompVis/stable-diffusion-v1-2", torch_dtype=torch.float16)
model_path = "svjack/concept-caption-3m-sd-lora-en"

pipe.unet.load_attn_procs(model_path)
pipe.to("cuda")
pipe.safety_checker = lambda images, clip_input: (images, False)
print("have_load")

prompt = "A Happpy dog"
image = pipe(prompt, num_inference_steps=50, guidance_scale=7.5).images[0]
image
```

![0](https://raw.githubusercontent.com/svjack/ControlLoRA-Chinese/main/imgs/en_happy_dog.png)