Instructions to use ByteDance/XVerse with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ByteDance/XVerse with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("ByteDance/XVerse", 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
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README.md
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Official model of "XVerse: Consistent Multi-Subject Control of Identity and Semantic Attributes via DiT Modulation".
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Official model of "XVerse: Consistent Multi-Subject Control of Identity and Semantic Attributes via DiT Modulation".
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Paper Link: https://arxiv.org/abs/2506.21416
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Github Code: https://github.com/bytedance/XVerse
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