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
Update README.md
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by ulkamin - opened
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- text-to-image
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- stable-diffusion
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- diffusion distillation
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# DMD2 Model Card
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- text-to-image
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- stable-diffusion
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- diffusion distillation
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datasets:
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- OpenGVLab/ShareGPT-4o
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language:
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- ka
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metrics:
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- accuracy
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pipeline_tag: image-text-to-text
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# DMD2 Model Card
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