Instructions to use GlobalSymbols/Mulberry-AAC-Profession with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GlobalSymbols/Mulberry-AAC-Profession with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("GlobalSymbols/Mulberry-AAC-Profession", dtype=torch.bfloat16, device_map="cuda") prompt = "mulberry" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 87f66a2ac3fdc515703da1e99308839d5aae3ef49034dc189c03a1973442bbc2
- Size of remote file:
- 1.36 GB
- SHA256:
- e3a512874aec6a099060ffed9836b617c01e778eeef552fcb5c827be6f69cc03
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.