by Lykon
Open source · 15k downloads · 73 likes
DreamShaper XL v2 Turbo is an AI model specialized in generating images from text, optimized for fast and efficient use. It is based on a fine-tuned version of Stable Diffusion XL, delivering high-quality visual results with fine details and varied styles. This model excels particularly in creating artistic images, landscapes, portraits, or stylized illustrations while maintaining remarkable visual coherence. Its speed and versatility make it an ideal tool for artists, content creators, or enthusiasts looking to explore visual concepts without technical constraints. What sets it apart is its balance between performance and accessibility, enabling smooth and intuitive image generation.
lykon/dreamshaper-xl-v2-turbo is a Stable Diffusion model that has been fine-tuned on stabilityai/stable-diffusion-xl-base-1.0.
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For more general information on how to run text-to-image models with 🧨 Diffusers, see the docs.
pip install diffusers transformers accelerate
from diffusers import AutoPipelineForText2Image, DPMSolverMultistepScheduler
import torch
pipe = AutoPipelineForText2Image.from_pretrained('lykon/dreamshaper-xl-v2-turbo', torch_dtype=torch.float16, variant="fp16")
pipe.scheduler = DPMSolverMultistepScheduler.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=6, guidance_scale=2).images[0]
image.save("./image.png")