Text-to-Image
Diffusers
Safetensors
English
stable-diffusion
stable-diffusion-diffusers
StableDiffusion
image-generation
SDXL
SDXLv1.0
sdxl-lightning
distilled
Instructions to use nDimensional/NatViS-Natural-Vision-Lightning-SDXL with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use nDimensional/NatViS-Natural-Vision-Lightning-SDXL with Diffusers:
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-Lightning-SDXL", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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README.md
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* Medium - Photorealistic, Cinematography, Photography, Generalist
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* <font color="#FFFF00">Lightning</font> Generation Parameter Recommendations:
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* **v1-v2 8step:**
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* CFG: 4
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* Steps: 8
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* **v2.5 8step:**
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* CFG: 2
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* Steps: 8
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* Sampler: Euler
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* Schedule Type: SGM Uniform
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* **All 4step versions:**
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* CFG: 1.5
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* Steps: 4-5
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* Sampler: Euler
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* Schedule Type: SGM Uniform
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* Medium - Photorealistic, Cinematography, Photography, Generalist
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* <font color="#FFFF00">Lightning</font> Generation Parameter Recommendations:
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* **v1-v2 8step:**
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* CFG: 4-6
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* Steps: 8-9
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* **v2.5 8step:**
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* CFG: 2-3
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* Steps: 8-9
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* Sampler: Euler
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* Schedule Type: SGM Uniform
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* **All 4step versions:**
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* CFG: 1.5-2
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* Steps: 4-5
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* Sampler: Euler
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* Schedule Type: SGM Uniform
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