| --- |
| 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") |
| ``` |
|
|
|  |
|
|
