Text-to-Image
Diffusers
TensorBoard
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
textual_inversion
Instructions to use gemengmeng/textual_inversion_cat with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use gemengmeng/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("runwayml/stable-diffusion-v1-5", dtype=torch.bfloat16, device_map="cuda") pipe.load_textual_inversion("gemengmeng/textual_inversion_cat") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download checkpoint-1000/pytorch_model.bin from gemengmeng/textual_inversion_cat: direct link, hf CLI and curl.
- Browser
- Download file 492 MB
-
https://huggingface.co/gemengmeng/textual_inversion_cat/resolve/main/checkpoint-1000/pytorch_model.bin
- Command line
-
hf download hf://gemengmeng/textual_inversion_cat/checkpoint-1000/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/gemengmeng/textual_inversion_cat/resolve/main/checkpoint-1000/pytorch_model.bin
492 MB
- Xet hash:
- 69619b115ec7db3e7bb8e34a46b8aaa6952d37b9beb3f6318168eda3868650a1
- Size of remote file:
- 492 MB
- SHA256:
- f7067161299310d97adffb3cd0b5da0297e22ac007e3d8674974f8f1bd997f9b
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