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:
- f9f74c94d5a571acd6412b8a0cc50c715871cb8128ea27f85267c6db38b62354
- Size of remote file:
- 3.84 kB
- SHA256:
- 5ee868cbe87ce558e13dbc8be2afab037e73612dbf027ac506726d38d1cd5e4d
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