Instructions to use WT-MM/Mei with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use WT-MM/Mei with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("WT-MM/Mei", 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
- Xet hash:
- 676e342e575dd9e2321ece2669c87b1da39d4988a634bb149d94ed509139df69
- Size of remote file:
- 1.36 GB
- SHA256:
- a7a5f404f267ad04593af0a6b2483d022a778f1330a425c660ccab772e2b93fb
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