Instructions to use nDimensional/NatViS-Natural-Vision-Hyper-SDXL with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use nDimensional/NatViS-Natural-Vision-Hyper-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-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] - Notebooks
- Google Colab
- Kaggle
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* Hyper Generation Parameter Recommendations:
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* **Hyper with CFG:**
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* CFG: 6-8
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* Steps:
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* Sampler: Euler
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* Schedule Type: SGM Uniform
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* **Hyper without CFG:**
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* CFG: 1
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* Steps:
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* Sampler: Euler
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* Schedule Type: SGM Uniform
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* Recommended Generation Dimensions:
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* Hyper Generation Parameter Recommendations:
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* **Hyper with CFG:**
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* CFG: 6-8
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* Steps: <code>x for x in model_name_hyper_{x}steps</code>.
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* Sampler: Euler
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* Schedule Type: SGM Uniform
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* **Hyper without CFG:**
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* CFG: 1
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* Steps: <code>x for x in model_name_hyper_{x}steps</code>.
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* Sampler: Euler
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* Schedule Type: SGM Uniform
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* Recommended Generation Dimensions:
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