Instructions to use Ocean3/Sprout with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Ocean3/Sprout with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Ocean3/Sprout", 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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- art
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license: creativeml-openrail-m
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# Sprout 🌱
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<div align="center">
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<a href="https://huggingface.co/Ocean3/Sprout/tree/main">Versions</a></div>
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- art
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license: creativeml-openrail-m
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---
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# Sprout 🌱
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<div align="center">
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<a href="https://huggingface.co/Ocean3/Sprout/tree/main">Versions</a></div>
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