Text-to-Image
Diffusers
TensorBoard
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
textual_inversion
Instructions to use manosp/audio_inversion_cat with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use manosp/audio_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("fill-in-base-model", dtype=torch.bfloat16, device_map="cuda") pipe.load_textual_inversion("manosp/audio_inversion_cat") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download checkpoint-2000/optimizer.bin from manosp/audio_inversion_cat: direct link, hf CLI and curl.
- Browser
- Download file 309 MB
-
https://huggingface.co/manosp/audio_inversion_cat/resolve/main/checkpoint-2000/optimizer.bin
- Command line
-
hf download hf://manosp/audio_inversion_cat/checkpoint-2000/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/manosp/audio_inversion_cat/resolve/main/checkpoint-2000/optimizer.bin
309 MB
- Xet hash:
- 803785358ac75cf491571d71b5fe8ed9bef3442c94642e352928f9aa4fb49342
- Size of remote file:
- 309 MB
- SHA256:
- 82ca10b500af0d487c4cca81728d8da4855bec556f5fb6cdd993efcd8d8ff3e5
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.