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

- Xet hash:
- d13b608b31d4acf5d6b3573c629d307c07b2ccf62bbb27e28c8833c8e6121129
- Size of remote file:
- 133 kB
- SHA256:
- 4897a8b1bf1693bcd8d594a238808aed4af6f7b1292d6c32235c2ba5cf228360
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