Instructions to use GraydientPlatformAPI/nai-mmmm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GraydientPlatformAPI/nai-mmmm with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("GraydientPlatformAPI/nai-mmmm", 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:
- 53cfdde9b29f9e8912a202fb2b47789320ce2d5d8787dc8a211a063cee30a8f2
- Size of remote file:
- 1.39 GB
- SHA256:
- 3a2f2fb2474efd39d0dbe5f0424dd7c28e070be923552b2791825f9a46e2aae9
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