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 vae/diffusion_pytorch_model.bin from nomsgadded/textual_inversion: direct link, hf CLI and curl.
- Browser
- Download file 167 MB
-
https://huggingface.co/nomsgadded/textual_inversion/resolve/main/vae/diffusion_pytorch_model.bin
- Command line
-
hf download hf://nomsgadded/textual_inversion/vae/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/nomsgadded/textual_inversion/resolve/main/vae/diffusion_pytorch_model.bin
167 MB
- Xet hash:
- 0bc7582a5235e95913604ff8fc6021c2ab6926211404f48e3404c25119948d05
- Size of remote file:
- 167 MB
- SHA256:
- 3524731ccb7c457ec5481e252c774463677e51ef4df7fccb6f88534b632acf92
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