Text-to-Image
Diffusers
TensorBoard
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
textual_inversion
Instructions to use nomsgadded/textual_inversion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use nomsgadded/textual_inversion with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("CompVis/stable-diffusion-v1-4", dtype=torch.bfloat16, device_map="cuda") pipe.load_textual_inversion("nomsgadded/textual_inversion") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download text_encoder/pytorch_model.bin from nomsgadded/textual_inversion: direct link, hf CLI and curl.
- Browser
- Download file 492 MB
-
https://huggingface.co/nomsgadded/textual_inversion/resolve/main/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://nomsgadded/textual_inversion/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/nomsgadded/textual_inversion/resolve/main/text_encoder/pytorch_model.bin
492 MB
- Xet hash:
- 014e44993f45ae0574eaf746dde973b384009ee931eb9d9dea787c6ddf72d38a
- Size of remote file:
- 492 MB
- SHA256:
- 9d002ea8eb4b62f5e26052b0bd50d738c7d55e61c281d978f29e175411548bc1
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