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HomeLLMsAnyLoRA

AnyLoRA

by Lykon

Open source · 5k downloads · 51 likes

2.1
(51 reviews)ImageAPI & Local
About

AnyLoRA is an AI-powered image generation model specifically optimized to create realistic or stylized visuals from text descriptions. Fine-tuned from Stable Diffusion v1.5, it excels at producing detailed and coherent images while offering great flexibility to adapt styles and subjects. This model is particularly well-suited for artists, designers, and content creators looking to generate illustrations, visual concepts, or digital artwork with precision. What sets it apart is its ability to deliver high-quality results across a wide range of styles, from hyper-realistic to highly abstract. Ideal for projects requiring a creative touch or professional-grade renders, AnyLoRA stands out as a versatile tool for AI-assisted visual creation.

Documentation

AnyLora

lykon/AnyLoRA is a Stable Diffusion model that has been fine-tuned on runwayml/stable-diffusion-v1-5.

Please consider supporting me:

  • on Patreon
  • or buy me a coffee

Diffusers

For more general information on how to run text-to-image models with 🧨 Diffusers, see the docs.

  1. Installation
Code
pip install diffusers transformers accelerate
  1. 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")
Capabilities & Tags
diffuserssafetensorsstable-diffusionstable-diffusion-diffuserstext-to-imageartartisticanimedreamshaperlcm
Links & Resources
Specifications
CategoryImage
AccessAPI & Local
LicenseOpen Source
PricingOpen Source
Rating
2.1

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