Text-to-Image
Diffusers
TensorBoard
Safetensors
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
textual_inversion
diffusers-training
Instructions to use sumin-yu/textual_inversion_cat_one with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use sumin-yu/textual_inversion_cat_one with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stable-diffusion-v1-5/stable-diffusion-v1-5", dtype=torch.bfloat16, device_map="cuda") pipe.load_textual_inversion("sumin-yu/textual_inversion_cat_one") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- bae9eb20ec86a56d89593a1b906d215843e78446b96e9801636786f8ccab7ef7
- Size of remote file:
- 304 MB
- SHA256:
- 9206c6ed1040ed11fff15f746f18938189eb1beb147debc8d224e41818964582
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