| --- |
| language: |
| - en |
| license: creativeml-openrail-m |
| tags: |
| - stable-diffusion |
| - stable-diffusion-diffusers |
| - text-to-image |
| - art |
| - artistic |
| - diffusers |
| - anime |
| - dreamshaper |
| - lcm |
| duplicated_from: Lykon/AnyLoRA |
| pipeline_tag: text-to-image |
| --- |
| |
| # AnyLora |
|
|
| `lykon/AnyLoRA` is a Stable Diffusion model that has been fine-tuned on [runwayml/stable-diffusion-v1-5](https://huggingface.co/runwayml/stable-diffusion-v1-5). |
|
|
| Please consider supporting me: |
| - on [Patreon](https://www.patreon.com/Lykon275) |
| - or [buy me a coffee](https://snipfeed.co/lykon) |
|
|
| ## 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/AnyLoRA', torch_dtype=torch.float16, variant="fp16") |
| pipe.scheduler = DEISMultistepScheduler.from_config(pipe.scheduler.config) |
| pipe = pipe.to("cuda") |
| |
| prompt = "portrait photo of muscular bearded guy in a worn mech suit, light bokeh, intricate, steel metal, elegant, sharp focus, soft lighting, vibrant colors" |
| |
| generator = torch.manual_seed(0) |
| image = pipe(prompt, num_inference_steps=20, generator=generator).images[0] |
| image.save("./image.png") |
| ``` |
|
|
