Instructions to use yding124/m3ddm-weights with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use yding124/m3ddm-weights with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("yding124/m3ddm-weights", 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
- Xet hash:
- ea3b03ee63fd4449c34aac7ca3da5b645f984d9a6dcea169cce757af76783fd3
- Size of remote file:
- 2.6 GB
- SHA256:
- 1ff2033d2896f5db15830f2fe9c6bd50586d35b01e758de07fb1b6db9594170c
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