Instructions to use qihoo360/NAMI-T2I with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use qihoo360/NAMI-T2I with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("qihoo360/NAMI-T2I", 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:
- 2532286277c8332deb04975c0db7cde3ee953bfc45403515b18638cf3a6dd70f
- Size of remote file:
- 1.31 MB
- SHA256:
- 7ad579f08ad61397f2c06e2e7888a5f9f476a06da0bd8a65b5ead1e3e9801e51
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