Instructions to use MyneFactory/MF-Base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use MyneFactory/MF-Base with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("MyneFactory/MF-Base", 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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<div style="color: #666; padding-left:8px;"><strong>DPM++ SDE Karras</strong> (preferred)</div>
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<i style="color: #666666e8; padding-left:8px;">Karras samplers tend to create more dynamic and interesting generations</i>
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<div style="color: #666; padding-left:8px;"><strong>Euler A</strong></div>
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<div style="color: #666; padding-left:8px;"><strong>DPM++ SDE Karras</strong> (preferred)</div>
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<i style="color: #666666e8; padding-left:8px;">Karras samplers tend to create more dynamic and interesting generations.</i>
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<div style="color: #666; padding-left:8px;"><strong>Euler A</strong></div>
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