Text-to-Image
Diffusers
TensorBoard
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
textual_inversion
Instructions to use AACEE/textual_inversion_sksship with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use AACEE/textual_inversion_sksship 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("AACEE/textual_inversion_sksship") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download text_encoder/pytorch_model.bin from AACEE/textual_inversion_sksship: direct link, hf CLI and curl.
- Browser
- Download file 492 MB
-
https://huggingface.co/AACEE/textual_inversion_sksship/resolve/main/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://AACEE/textual_inversion_sksship/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/AACEE/textual_inversion_sksship/resolve/main/text_encoder/pytorch_model.bin
492 MB
- Xet hash:
- 0ffe464d102d9041c99f649f368c50791fb3b625164b0f1e5828e519395b9cd0
- Size of remote file:
- 492 MB
- SHA256:
- 28218dc0ca6bb06b02ec94d7f5030b1d9e6922a75cdcf81fec80ad289a6f266e
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