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fal/dreamshaper-xl-lightning-flashpack
dreamshaper-xl-lightning-flashpack is a text-to-image model from fal. Use it when you need an image from a text prompt. It is set up for diffusers. The card lists the license as openrail++.
lykon/dreamshaper-xl-lightning is a Stable Diffusion model that has been fine-tuned on stabilityai/stable-diffusion-xl-base-1.0.
Downloads · 30 days
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11% of all-time downloads
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From the Hugging Face model README
lykon/dreamshaper-xl-lightning is a Stable Diffusion model that has been fine-tuned on stabilityai/stable-diffusion-xl-base-1.0.
Please consider supporting me:
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-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")