Text-to-Image
Diffusers
Safetensors
StableDiffusionXLPipeline
stable-diffusion-xl
stable-diffusion-xl-diffusers
diffusers-training
textual_inversion
Instructions to use rangwani-harsh/textual_inversion_cat with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use rangwani-harsh/textual_inversion_cat with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-base-1.0", dtype=torch.bfloat16, device_map="cuda") pipe.load_textual_inversion("rangwani-harsh/textual_inversion_cat") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Ctrl+K
- checkpoint-1000
- checkpoint-1500
- checkpoint-2000
- checkpoint-2500
- checkpoint-3000
- checkpoint-500
- scheduler
- text_encoder
- text_encoder_2
- tokenizer
- tokenizer_2
- unet
- vae
- 1.52 kB
- 991 Bytes
- 3.18 kB xet
- 3.18 kB xet
- 3.18 kB xet
- 3.18 kB xet
- 3.18 kB xet
- 3.18 kB xet
- 3.18 kB xet
- 2.67 kB xet
- 2.67 kB xet
- 2.67 kB xet
- 2.67 kB xet
- 2.67 kB xet
- 2.67 kB xet
- 2.67 kB xet
- 739 Bytes