Instructions to use AIPeanutman/OpenSubject with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use AIPeanutman/OpenSubject with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("AIPeanutman/OpenSubject", 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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# OmniGen2-OpenSubject
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This repository provides an **open-source baseline** model, obtained by fine-tuning **OmniGen2** on the sampled 500k **OpenSubject** corpus and 100k internal T2I samples to maintain prompt-following ability.
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The model is optimized for **subject-driven image generation**, while maintaining general **prompt-following** ability.
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For usage examples of **OpenSubject**, please refer to: https://github.com/LAW1223/OpenSubject
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# OmniGen2-OpenSubject
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This repository provides an **open-source baseline** model, obtained by fine-tuning **OmniGen2** on the sampled 500k **OpenSubject** corpus and 100k internal T2I samples to maintain prompt-following ability. The model is optimized for **subject-driven image generation**, while maintaining general **prompt-following** ability.
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For usage examples of **OpenSubject**, please refer to: https://github.com/LAW1223/OpenSubject
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