Text-to-Image
Diffusers
TensorBoard
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
textual_inversion
Instructions to use manosp/textual_inversion_moto with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use manosp/textual_inversion_moto 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("manosp/textual_inversion_moto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download text_encoder/pytorch_model.bin from manosp/textual_inversion_moto: direct link, hf CLI and curl.
- Browser
- Download file 492 MB
-
https://huggingface.co/manosp/textual_inversion_moto/resolve/main/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://manosp/textual_inversion_moto/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/manosp/textual_inversion_moto/resolve/main/text_encoder/pytorch_model.bin
492 MB
- Xet hash:
- 190e9cb27427b81e53fd8f65ed8059c05270825a29e1148b534d0a078b7a081a
- Size of remote file:
- 492 MB
- SHA256:
- c2b6b87f7f069caabe31d0e36d0bbe8496773e0c8c1d607dc0c5f3a7a6392c49
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