Instructions to use blazers/ninetail with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use blazers/ninetail with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("blazers/ninetail", 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:
- 443b9e1514f00447ae9aab526ae2d12a455565f453f698b7c37833b78ca7e1b6
- Size of remote file:
- 3.44 GB
- SHA256:
- 24b567ae28bd055acb47cc47fb036ec0a3aa84d8ac12cf6eff1d84b075d99fde
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