Instructions to use KORMo-VL/KORMo-VL-Diffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use KORMo-VL/KORMo-VL-Diffusion with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("KORMo-VL/KORMo-VL-Diffusion", 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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README.md
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## ๐ T2I Performance
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## ๐ฆ Installation
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uv pip install transformers==4.57.1 pillow torchvision
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## ๐ Inference Example
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## ๐ T2I Performance
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๊ฒฐ๊ณผ ์ฌ์ง ์ถ๊ฐ ์์
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## ๐ฆ Installation
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```bash
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uv pip install transformers==4.57.1 pillow torchvision diffusers
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## ๐ Inference Example
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github repo ํ์ฉ ์์
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