Text-to-Image
Diffusers
TensorBoard
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
textual_inversion
Instructions to use cuixing/textual_inversion_object_style with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use cuixing/textual_inversion_object_style with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("runwayml/stable-diffusion-v1-5", dtype=torch.bfloat16, device_map="cuda") pipe.load_textual_inversion("cuixing/textual_inversion_object_style") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
- Xet hash:
- d6e1709203acaaa79c34ede6c30e490b19489d281e2dde91971520e26d99fd93
- Size of remote file:
- 7.24 kB
- SHA256:
- 198292c38a7179bf37405468f303031978b518911b2c92be4c2b312788f06c1e
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