Instructions to use seiya12/tunedmodel14 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use seiya12/tunedmodel14 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("seiya12/tunedmodel14", 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
- Xet hash:
- ecf9da1a4337a244f87d030d902ae23cebc123c54bb2b6994adcca6b0617eb6a
- Size of remote file:
- 6.88 GB
- SHA256:
- 75b0226b13f6c3c72ed4bc8dcd0657d6d6df9edab8c8562a686e652110f43090
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