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--- |
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language: |
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- en |
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license: creativeml-openrail-m |
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tags: |
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- stable-diffusion |
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- stable-diffusion-diffusers |
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- text-to-image |
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- art |
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- artistic |
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- diffusers |
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- anime |
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- dreamshaper |
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- lcm |
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duplicated_from: Lykon/AnyLoRA |
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pipeline_tag: text-to-image |
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--- |
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# AnyLora |
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`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). |
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Please consider supporting me: |
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- on [Patreon](https://www.patreon.com/Lykon275) |
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- or [buy me a coffee](https://snipfeed.co/lykon) |
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## Diffusers |
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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). |
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1. Installation |
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``` |
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pip install diffusers transformers accelerate |
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``` |
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2. Run |
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```py |
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from diffusers import AutoPipelineForText2Image, DEISMultistepScheduler |
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import torch |
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pipe = AutoPipelineForText2Image.from_pretrained('lykon/AnyLoRA', torch_dtype=torch.float16, variant="fp16") |
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pipe.scheduler = DEISMultistepScheduler.from_config(pipe.scheduler.config) |
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pipe = pipe.to("cuda") |
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prompt = "portrait photo of muscular bearded guy in a worn mech suit, light bokeh, intricate, steel metal, elegant, sharp focus, soft lighting, vibrant colors" |
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generator = torch.manual_seed(0) |
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image = pipe(prompt, num_inference_steps=20, generator=generator).images[0] |
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image.save("./image.png") |
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``` |
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