Text-to-Image
Diffusers
TensorBoard
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
textual_inversion
Instructions to use Jade1211/textual_inversion_car2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Jade1211/textual_inversion_car2 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("Jade1211/textual_inversion_car2") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download text_encoder/pytorch_model.bin from Jade1211/textual_inversion_car2: direct link, hf CLI and curl.
- Browser
- Download file 492 MB
-
https://huggingface.co/Jade1211/textual_inversion_car2/resolve/main/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://Jade1211/textual_inversion_car2/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Jade1211/textual_inversion_car2/resolve/main/text_encoder/pytorch_model.bin
492 MB
- Xet hash:
- 5f4536fb380d082e20bf675f55dad5ad594d05c0249a8d8126386ab77838fe7d
- Size of remote file:
- 492 MB
- SHA256:
- 5f004cd93147e7e7818c142372da993f4ac853f8603ca17fc9926d9ba378bad8
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