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sd-community/sdxl-flash

sourceHugging Facecreativeml-openrail-mupdated 2y agoView on Hugging Face
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Model Card

SDXL Flash in collaboration with [Project Fluently](https://hf.co/fluently)

[image]

Introducing the new fast model SDXL Flash, we learned that all fast XL models work fast, but the quality decreases, and we also made a fast model, but it is not as fast as LCM, Turbo, Lightning and Hyper, but the quality is higher. Below you will see the study with steps and cfg.

Steps and CFG (Guidance)

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Optimal settings

  • —Steps: 6-9
  • —CFG Scale: 2.5-3.5
  • —Sampler: DPM++ SDE

Diffusers usage

bash
pip install torch diffusers
py
import torch
from diffusers import StableDiffusionXLPipeline, DPMSolverSinglestepScheduler

# Load model.
pipe = StableDiffusionXLPipeline.from_pretrained("sd-community/sdxl-flash", torch_dtype=torch.float16).to("cuda")

# Ensure sampler uses "trailing" timesteps.
pipe.scheduler = DPMSolverSinglestepScheduler.from_config(pipe.scheduler.config, timestep_spacing="trailing")

# Image generation.
pipe("a happy dog, sunny day, realism", num_inference_steps=7, guidance_scale=3).images[0].save("output.png")