Instructions to use ViTeX-Bench/ViTeX-Edit-14B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ViTeX-Bench/ViTeX-Edit-14B with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("ViTeX-Bench/ViTeX-Edit-14B", 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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# ViTeX-14B
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ViTeX is a video text editing model. It replaces text content inside a user-provided mask region of a video while preserving the original visual style (font, color, stroke, shadow, perspective) and the surrounding scene.
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This repository is fully self-contained — it bundles the trained weights, the full base model required for inference, and all custom code. No external code repositories or third-party model downloads are required.
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# ViTeX-14B
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🌐 **Project page: [vitex-bench.github.io](https://vitex-bench.github.io/)** — qualitative results, leaderboard, and full project overview.
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ViTeX is a video text editing model. It replaces text content inside a user-provided mask region of a video while preserving the original visual style (font, color, stroke, shadow, perspective) and the surrounding scene.
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This repository is fully self-contained — it bundles the trained weights, the full base model required for inference, and all custom code. No external code repositories or third-party model downloads are required.
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