Text-to-Image
Diffusers
TensorBoard
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
textual_inversion
Instructions to use Dytorch/textual_inversion_cat with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Dytorch/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("Dytorch/textual_inversion_cat") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download checkpoint-2000/optimizer.bin from Dytorch/textual_inversion_cat: direct link, hf CLI and curl.
- Browser
- Download file 304 MB
-
https://huggingface.co/Dytorch/textual_inversion_cat/resolve/main/checkpoint-2000/optimizer.bin
- Command line
-
hf download hf://Dytorch/textual_inversion_cat/checkpoint-2000/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/Dytorch/textual_inversion_cat/resolve/main/checkpoint-2000/optimizer.bin
304 MB
- Xet hash:
- 60ee0243d544f145b77f07c2020bc2041bf0e06b750f901286f640274de4e989
- Size of remote file:
- 304 MB
- SHA256:
- 921244b176e4efd8725b2e77d829b61fde16f8f847fea85a2c67b04103de5815
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