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:
- ed9e6c4d50ba5123a9ec1ad9827839a12bcc9827f7a881dab811a48329eb76da
- Size of remote file:
- 304 MB
- SHA256:
- bad95a90d51b77583b0d868aae4c0866d5702f028e48a0b3e55e095e12943bb2
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