Instructions to use tianweiy/DMD2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use tianweiy/DMD2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("tianweiy/DMD2", 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
Commit History
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update data
Tianwei Yin8c752c6 -
update data
Tianwei Yinc37e3bf
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update coco data
Tianwei Yin5d3045a -
update coco test captions
Tianwei Yin6455775 -
update laion prompts
Tianwei Yinb58db4c -
add sd training datasets
Tianwei Yinf96bab1 -
upload all imagenet data
Tianwei Yin48e1bde