How to use from the
Use from the
Diffusers library
pip install -U diffusers transformers accelerate
import torch
from diffusers import DiffusionPipeline

# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("nDimensional/NatViS-Natural-Vision-Hyper-SDXL", dtype=torch.bfloat16, device_map="cuda")

prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
image = pipe(prompt).images[0]
Natural Vision Hyper
Sample image Buy Me a Coffee at ko-fi.com

Hyper Version(s) of Natural Vision


Model Info

  • Base Model - NaturalVision v1.0 + SDXL Lightning
  • VAE - sdxl-vae-fp16-fix
  • Type - Full-parameter fine-tune, FP16
  • Medium - Photorealistic, Cinematography, Photography, Generalist
  • Hyper Generation Parameter Recommendations:
    • Hyper with CFG:
      • CFG: 6-8
      • Steps: x for x in model_name_hyper_{x}steps.
      • Sampler: Euler
      • Schedule Type: SGM Uniform
    • Hyper without CFG:
      • CFG: 1
      • Steps: x for x in model_name_hyper_{x}steps.
      • Sampler: Euler
      • Schedule Type: SGM Uniform
  • Recommended Generation Dimensions:
    • 1344x768 (16:9) β€” Cinematic Film Stills
    • 1536x640 (21:9) β€” Ultrawide Cinematic Film Stills
    • 1152x896 (4:3) β€” Fullscreen
    • 1216x832 (3:2) β€” Mobile landscape
    • 1024x1024 (1:1) β€” Square
    • 1024x704 (11:16)
    • 768x1344 (9:16) β€” Tall (Instagram stories / snapchat)
    • 896x1152 (3:4)
    • 832x1216 (2:3) β€” Mobile Portrait
    • 704x1024 (16:11)

Latest Version: v2.7_8step_CFG
Hyper varients of NatViS versions priror to v2.7 will be uploaded over time.
Civitai Link: NSFW WARNING

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