Text-to-Image
Diffusers
TensorBoard
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
textual_inversion
Instructions to use AACEE/textual_inversion_airship with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use AACEE/textual_inversion_airship with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-2-depth", dtype=torch.bfloat16, device_map="cuda") pipe.load_textual_inversion("AACEE/textual_inversion_airship") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download text_encoder/pytorch_model.bin from AACEE/textual_inversion_airship: direct link, hf CLI and curl.
- Browser
- Download file 1.36 GB
-
https://huggingface.co/AACEE/textual_inversion_airship/resolve/main/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://AACEE/textual_inversion_airship/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/AACEE/textual_inversion_airship/resolve/main/text_encoder/pytorch_model.bin
1.36 GB
- Xet hash:
- 14d71f715fbc37143c5b3886317d8b3ba3ca723965251c4f1f4c65234fbad28e
- Size of remote file:
- 1.36 GB
- SHA256:
- daba24ccdbb33dc6d8d59463c4ae1ea5e0b52e56c85471166fe939ad9b262424
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