Instructions to use lichang0928/QA-MDT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use lichang0928/QA-MDT with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("lichang0928/QA-MDT", 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
Upload checkpoint_389999.ckpt
Browse files- checkpoint_389999.ckpt +3 -0
checkpoint_389999.ckpt
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version https://git-lfs.github.com/spec/v1
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oid sha256:d38d080fd906a0ed8dfd18401fa4c6608ae63b3556defcf50aa318dfd7284553
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size 13504339928
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