Text-to-Image
Diffusers
Safetensors
English
Chinese
grin_qwen2_vl
MoE
Unified Generation
Multi-modal
Instructions to use HIT-TMG/Uni-MoE-2.0-Image with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use HIT-TMG/Uni-MoE-2.0-Image with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("HIT-TMG/Uni-MoE-2.0-Image", 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 Settings
- Draw Things
- DiffusionBee
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- MoE
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- Unified Generation
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- Multi-modal
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<h1 align="center">Uni-MoE 2.0-Image</h1>
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- MoE
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pipeline_tag: text-to-image
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<h1 align="center">Uni-MoE 2.0-Image</h1>
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