AWPainting-v1-2 / README.md
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---
license: creativeml-openrail-m
library_name: diffusers
tags:
- Safetensors
- stable-diffusion
- stable-diffusion-diffusers
- text-to-image
pipeline_tag: text-to-image
---
# AWPainting
## v1.2
![Generated Sample](preview.jpeg)
### Description:
>
### Creator: DynamicWang
### Civitai Page: https://civitai.com/models/84476
You can use this with the [🧨Diffusers library](https://github.com/huggingface/diffusers)
### Diffusers
```py
from diffusers import StableDiffusionPipeline
import torch
model_id = "sam749/AWPainting-v1-2"
pipe = StableDiffusionPipeline.from_pretrained(model_id, torch_dtype=torch.float16)
pipe = pipe.to("cuda")
prompt = "masterpiece, best quality, 1girl, (colorful),(delicate eyes and face), volumatic light, ray tracing, bust shot ,extremely detailed CG unity 8k wallpaper,solo,smile"
image = pipe(prompt).images[0]
image.save("result.png")
```