Instructions to use rityak/LumiNetaMix with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use rityak/LumiNetaMix with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("rityak/LumiNetaMix", 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
- Draw Things
- DiffusionBee
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- **Recommended Settings**
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- Sampler: `res_multistep`
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- Scheduler: `linear_quadratic`
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- Steps: 30
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- CFG Scale: 4.0 – 5.5
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- **Recommended Settings**
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- Sampler: `res_multistep` | `eular_ancestral`
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- Scheduler: `linear_quadratic`
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- Steps: 30
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- CFG Scale: 4.0 – 5.5
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