Text-to-Image
Diffusers
TensorBoard
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
textual_inversion
Instructions to use shinhirota/textual_inversion_cat with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use shinhirota/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("shinhirota/textual_inversion_cat") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download text_encoder/pytorch_model.bin from shinhirota/textual_inversion_cat: direct link, hf CLI and curl.
- Browser
- Download file 492 MB
-
https://huggingface.co/shinhirota/textual_inversion_cat/resolve/main/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://shinhirota/textual_inversion_cat/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/shinhirota/textual_inversion_cat/resolve/main/text_encoder/pytorch_model.bin
492 MB
- Xet hash:
- 0089a271f9ac296558eadfb6c91af5aab2864665683112a85eb2db19a1627187
- Size of remote file:
- 492 MB
- SHA256:
- 6b7974d68c4f5c5a9e7941615267c4eb38fa68f9f18c0be42a33349c36589a67
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