Text-to-Image
Diffusers
TensorBoard
Safetensors
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
textual_inversion
diffusers-training
Instructions to use wpc666/textual_inversion_cat with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use wpc666/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("wpc666/textual_inversion_cat") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download checkpoint-2000/optimizer.bin from wpc666/textual_inversion_cat: direct link, hf CLI and curl.
- Browser
- Download file 304 MB
-
https://huggingface.co/wpc666/textual_inversion_cat/resolve/main/checkpoint-2000/optimizer.bin
- Command line
-
hf download hf://wpc666/textual_inversion_cat/checkpoint-2000/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/wpc666/textual_inversion_cat/resolve/main/checkpoint-2000/optimizer.bin
304 MB
- Xet hash:
- 94b16f7f7c52a78d4a9710aee6f485dc4f8e5411fd43dbda0938a7c7de4d894e
- Size of remote file:
- 304 MB
- SHA256:
- 189df89767bcbdf6b7108f1a7d271d10ee1c96bba5c1522eed48c81de82cb99d
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