Text-to-Image
Diffusers
TensorBoard
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
textual_inversion
Instructions to use gemengmeng/textual_inversion_cat with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use gemengmeng/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("gemengmeng/textual_inversion_cat") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download checkpoint-2500/pytorch_model.bin from gemengmeng/textual_inversion_cat: direct link, hf CLI and curl.
- Browser
- Download file 492 MB
-
https://huggingface.co/gemengmeng/textual_inversion_cat/resolve/main/checkpoint-2500/pytorch_model.bin
- Command line
-
hf download hf://gemengmeng/textual_inversion_cat/checkpoint-2500/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/gemengmeng/textual_inversion_cat/resolve/main/checkpoint-2500/pytorch_model.bin
492 MB
- Xet hash:
- 884ce97bf810c615d340d919cb0af735c8235375eb3237a77bdf2bcd02489b7f
- Size of remote file:
- 492 MB
- SHA256:
- bad87f2d1a6e3839a990e07ef13373b497e007dc28ae4e06c2045c27d98b0ed3
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.