Text-to-Image
Diffusers
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
textual_inversion
Instructions to use nomsgadded/textual_inversion_shark with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use nomsgadded/textual_inversion_shark with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("CompVis/stable-diffusion-v1-4", dtype=torch.bfloat16, device_map="cuda") pipe.load_textual_inversion("nomsgadded/textual_inversion_shark") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 658ebf9f9f88a4aebb7b78549cd7420939a8b230a50c531c848cef093658c81d
- Size of remote file:
- 4 kB
- SHA256:
- 1c6f9f488c694c017876c6c59bb7f67274613e052fcc4f40d6a7bf5ad257b14d
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