Any-to-Any
Diffusers
Safetensors
Diffusion Large Language Model
Multi-Modal Generation and Understanding
Instructions to use kr-cen/OmniGen2-MICo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use kr-cen/OmniGen2-MICo with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("kr-cen/OmniGen2-MICo", 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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## 🎨 Demo
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Since OmniGen2 naturally supports multi-
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## 🎨 Demo
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Since [OmniGen2](https://huggingface.co/OmniGen2/OmniGen2) naturally supports multi-reference generation, here we give some comparisons against [OmniGen2](https://huggingface.co/OmniGen2/OmniGen2).
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