Text-to-Image
Diffusers
TensorBoard
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
textual_inversion
Instructions to use roskaik/textual_inversion_cat with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use roskaik/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("roskaik/textual_inversion_cat") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download text_encoder/pytorch_model.bin from roskaik/textual_inversion_cat: direct link, hf CLI and curl.
- Browser
- Download file 492 MB
-
https://huggingface.co/roskaik/textual_inversion_cat/resolve/main/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://roskaik/textual_inversion_cat/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/roskaik/textual_inversion_cat/resolve/main/text_encoder/pytorch_model.bin
492 MB
- Xet hash:
- 3e01e7b7e589bdc0a0bdc50cef914781ed4f09eaa20c6b6563f95250a63403d4
- Size of remote file:
- 492 MB
- SHA256:
- 981a0f49f13a00bacc438db0af06df4517891eeb2d608d816a2d813951b3febe
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