Text-to-Image
Diffusers
TensorBoard
Safetensors
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
textual_inversion
diffusers-training
Instructions to use gchen019/textual_inversion_cat_weights with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use gchen019/textual_inversion_cat_weights with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("sd-legacy/stable-diffusion-v1-5", dtype=torch.bfloat16, device_map="cuda") pipe.load_textual_inversion("gchen019/textual_inversion_cat_weights") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download checkpoint-2000/optimizer.bin from gchen019/textual_inversion_cat_weights: direct link, hf CLI and curl.
- Browser
- Download file 304 MB
-
https://huggingface.co/gchen019/textual_inversion_cat_weights/resolve/main/checkpoint-2000/optimizer.bin
- Command line
-
hf download hf://gchen019/textual_inversion_cat_weights/checkpoint-2000/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/gchen019/textual_inversion_cat_weights/resolve/main/checkpoint-2000/optimizer.bin
304 MB
- Xet hash:
- c262b18f06789b3950f4a6e2f6d6c3aa3c8282ff44ee2b100f9ab93662de4fa4
- Size of remote file:
- 304 MB
- SHA256:
- cf10f813386311af943d8ab032311a31c18286bcc98ef1eb0acab8404ae48ae7
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