lucataco / dreamshaper-xl-lightning

dreamshaper-xl-lightning is a Stable Diffusion model that has been fine-tuned on SDXL

  • Public
  • 63.1K runs
  • GitHub
  • License
Run with an API
Playground API Examples README Versions

Input

Output

Examples

View more examples

Run time and cost

This model costs approximately $0.021 to run on Replicate, or 47 runs per $1, but this varies depending on your inputs. It is also open source and you can run it on your own computer with Docker.

This model runs on Nvidia A40 (Large) GPU hardware. Predictions typically complete within 30 seconds. The predict time for this model varies significantly based on the inputs.

Readme

Dreamshaper XL Lightning

lykon/dreamshaper-xl-lightning is a Stable Diffusion model that has been fine-tuned on stabilityai/stable-diffusion-xl-base-1.0.

Diffusers

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

  1. Installation
pip install diffusers transformers accelerate
  1. Run
from diffusers import AutoPipelineForText2Image, DPMSolverMultistepScheduler
import torch

pipe = AutoPipelineForText2Image.from_pretrained('lykon/dreamshaper-xl-v2-lightning', 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=4, guidance_scale=2).images[0]  
image.save("./image.png")