---
license: creativeml-openrail-m
language:
- zh
- en
library_name: diffusers
pipeline_tag: text-to-image
tags:
- art
- tensorRT
---
# Model Card for fast_sd_1.5

fast_sd_1.5 is a tensorRT implementation of Stable diffusion model, with stable 1.5 weights. Main features 

- weights: original stable diffusion 1.4 weights
- input image size range: 256~640 （min 256x256, max 640x640）
- device requirements: Nvidia Ampere architecture or newer (A100)
- super-resultion: 4x by default, optional.

fast_sd_1.5 is a part of TME lyralab Fast Model Plan.


### Model Sources [optional]

- **Repository:** [https://huggingface.co/runwayml/stable-diffusion-v1-5]

## Uses

```python
from lyraSD import LyraSD

t2imodel = LyraSD("text2img", "./sd1.5-engine")
t2imodel.inference(prompt="a red ballon flying in the sky")


from PIL import Image
i2imodel = LyraSD("img2img", "./sd1.5-engine")
demo_img = Image.open("output/text2img_demo.jpg")
i2imodel.inference(prompt="comic style", image=demo_img)


```