|
--- |
|
language: |
|
- en |
|
license: other |
|
tags: |
|
- stable-diffusion |
|
- stable-diffusion-diffusers |
|
- stable-diffusion-xl |
|
- text-to-image |
|
- art |
|
- artistic |
|
- diffusers |
|
- anime |
|
--- |
|
|
|
# AAM XL AnimeMix |
|
|
|
`Lykon/AAM_XL_AnimeMix` is a Stable Diffusion model that has been fine-tuned on [stabilityai/stable-diffusion-xl-base-1.0](https://huggingface.co/stabilityai/stable-diffusion-xl-base-1.0). |
|
|
|
Please consider supporting me: |
|
- on [Patreon](https://www.patreon.com/Lykon275) |
|
- or [buy me a coffee](https://snipfeed.co/lykon) |
|
|
|
**License**: [Fair AI Public License 1.0-SD](https://freedevproject.org/faipl-1.0-sd/) |
|
|
|
## Diffusers |
|
|
|
For more general information on how to run text-to-image models with 🧨 Diffusers, see [the docs](https://huggingface.co/docs/diffusers/using-diffusers/conditional_image_generation). |
|
|
|
1. Installation |
|
|
|
``` |
|
pip install diffusers transformers accelerate |
|
``` |
|
|
|
2. Run |
|
```py |
|
from diffusers import AutoPipelineForText2Image, DEISMultistepScheduler |
|
import torch |
|
|
|
pipe = AutoPipelineForText2Image.from_pretrained('Lykon/AAM_XL_AnimeMix', torch_dtype=torch.float16, variant="fp16") |
|
pipe.scheduler = DEISMultistepScheduler.from_config(pipe.scheduler.config) |
|
pipe = pipe.to("cuda") |
|
|
|
prompt = "anime girl, night, blue light behind her, ((Galaxy, Lens flare)), short hair, flower field, night sky, cinematic shot. Wallpaper. (Blue color schema), detailed background, a city in the distance" |
|
|
|
generator = torch.manual_seed(0) |
|
image = pipe(prompt, num_inference_steps=25).images[0] |
|
image.save("./image.png") |
|
``` |
|
|
|
 |
|
|
