Instructions to use tk93/V-Express with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use tk93/V-Express with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("tk93/V-Express", 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
- Local Apps
- Draw Things
- DiffusionBee
upload readme
Browse files
README.md
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license: apache-2.0
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---
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tags:
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- text-to-image
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- stable-diffusion
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license: apache-2.0
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language:
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- en
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library_name: diffusers
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---
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# V-Express Model Card
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<div align="center">
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[**Project Page**](https://tenvence.github.io/p/v-express/) **|** [**Paper (ArXiv)**]() **|** [**Code**](https://github.com/tencent-ailab/V-Express)
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</div>
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---
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## Introduction
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## Models
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### Audio Encoder
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### V-Express
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