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
- Draw Things
- DiffusionBee
- Xet hash:
- 33c16dbfe06f1d56b747a2234b1341736efb7a349bad25cfbf35effae58c9b7b
- Size of remote file:
- 5.14 GB
- SHA256:
- 5c2d55d5844bc1387f59ef76d2dcca4557bfce7fb426ac5a34bd23f6372bf9f6
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