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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KORMo-Diffusion에 대해서...
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<video width="640" height="360" controls>
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<source src="https://huggingface.co/KORMo-VL/KORMo-Diffusion/
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</video>
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KORMo-Diffusion에 대해서...
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<video width="640" height="360" controls>
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<source src="https://huggingface.co/KORMo-VL/KORMo-Diffusion/resolve/main/kormo_diffusion_assets/kormo_t2i.mp4" type="video/mp4">
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</video>
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