Text-to-Image
Diffusers
TensorBoard
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
textual_inversion
Instructions to use LittleFlyingSheep/textual_inversion_cat with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use LittleFlyingSheep/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("LittleFlyingSheep/textual_inversion_cat") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download checkpoint-2500/optimizer.bin from LittleFlyingSheep/textual_inversion_cat: direct link, hf CLI and curl.
- Browser
- Download file 304 MB
-
https://huggingface.co/LittleFlyingSheep/textual_inversion_cat/resolve/main/checkpoint-2500/optimizer.bin
- Command line
-
hf download hf://LittleFlyingSheep/textual_inversion_cat/checkpoint-2500/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/LittleFlyingSheep/textual_inversion_cat/resolve/main/checkpoint-2500/optimizer.bin
304 MB
- Xet hash:
- ced7e8ecd5bd83024916d511bb8b369fa0bc9c62cf78489ca2ab67d05356f8ed
- Size of remote file:
- 304 MB
- SHA256:
- 6a21c058057ce3893ee6dec824ade5ec889f7f40a1d8290804f1cc20a3673313
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