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
Upload folder using huggingface_hub
Browse files- .gitattributes +2 -0
- example_images/Dense forest.webp +3 -0
- example_images/black pattern mug cpup.webp +0 -0
- example_images/chinese flower vase.webp +0 -0
- example_images//352/262/200/354/235/200 /353/254/264/353/212/254/354/235/230 /353/250/270/352/267/270/354/273/265.webp +0 -0
- example_images/울창한 숲.webp +3 -0
.gitattributes
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kormo_diffusion_assets/kormo_t2i.mp4 filter=lfs diff=lfs merge=lfs -text
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Dense[[:space:]]forest.webp filter=lfs diff=lfs merge=lfs -text
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울창한[[:space:]]숲.webp filter=lfs diff=lfs merge=lfs -text
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kormo_diffusion_assets/kormo_t2i.mp4 filter=lfs diff=lfs merge=lfs -text
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Dense[[:space:]]forest.webp filter=lfs diff=lfs merge=lfs -text
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울창한[[:space:]]숲.webp filter=lfs diff=lfs merge=lfs -text
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example_images/Dense[[:space:]]forest.webp filter=lfs diff=lfs merge=lfs -text
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example_images/울창한[[:space:]]숲.webp filter=lfs diff=lfs merge=lfs -text
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example_images/Dense forest.webp
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Git LFS Details
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example_images/black pattern mug cpup.webp
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example_images/chinese flower vase.webp
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example_images//352/262/200/354/235/200 /353/254/264/353/212/254/354/235/230 /353/250/270/352/267/270/354/273/265.webp
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example_images/울창한 숲.webp
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Git LFS Details
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