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:
- 8239f54f98d3968dfe65b381cc9d0e278da696074e65731f2f21d1bb651c7be8
- Size of remote file:
- 246 MB
- SHA256:
- 6a65cdcc3c2579df6ccd5ef37a1fc315d2407bd19473ab34373e6195694ac2e1
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