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:
- c9fe2e6e4b4c4190c4beff662b580df3930274bc6c435dde55d3624b9119ad6c
- Size of remote file:
- 246 MB
- SHA256:
- 25702de41609eaf062f8e88fb7d2514e6f4bc4d81c6843a7cab8d759c7c96f04
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