Text-to-Image
Diffusers
TensorBoard
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
textual_inversion
Instructions to use Govern/textual_inversion_nailong with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Govern/textual_inversion_nailong 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("Govern/textual_inversion_nailong") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download text_encoder/pytorch_model.bin from Govern/textual_inversion_nailong: direct link, hf CLI and curl.
- Browser
- Download file 492 MB
-
https://huggingface.co/Govern/textual_inversion_nailong/resolve/main/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://Govern/textual_inversion_nailong/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Govern/textual_inversion_nailong/resolve/main/text_encoder/pytorch_model.bin
492 MB
- Xet hash:
- 58e9a0b66f4607e235c014a89b6814fee48f5d1a5b22c41afddb8c948501cd55
- Size of remote file:
- 492 MB
- SHA256:
- c10a232263780eeb98667252e86de11fa1f125e52ef2dd13d913c8bd23b7d8d0
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