Text-to-Image
Diffusers
TensorBoard
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
textual_inversion
Instructions to use whackett/textual_inversion_cat with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use whackett/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("whackett/textual_inversion_cat") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download vae/diffusion_pytorch_model.bin from whackett/textual_inversion_cat: direct link, hf CLI and curl.
- Browser
- Download file 335 MB
-
https://huggingface.co/whackett/textual_inversion_cat/resolve/main/vae/diffusion_pytorch_model.bin
- Command line
-
hf download hf://whackett/textual_inversion_cat/vae/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/whackett/textual_inversion_cat/resolve/main/vae/diffusion_pytorch_model.bin
335 MB
- Xet hash:
- a0b67f9bb523ece3a40b1c19112d422e2fbed22c80b735e812a4f7b473abf6a9
- Size of remote file:
- 335 MB
- SHA256:
- f1b8d41243cdcb0197c367727422d70c47259f8299c6b249184beff7835739d1
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