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 vae/diffusion_pytorch_model.bin from AACEE/textual_inversion_airship: direct link, hf CLI and curl.
- Browser
- Download file 335 MB
-
https://huggingface.co/AACEE/textual_inversion_airship/resolve/main/vae/diffusion_pytorch_model.bin
- Command line
-
hf download hf://AACEE/textual_inversion_airship/vae/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/AACEE/textual_inversion_airship/resolve/main/vae/diffusion_pytorch_model.bin
335 MB
- Xet hash:
- 6248534bd5a8a339f615eb731d46941be713a0ffa0d3c09f1afb581df521dc30
- Size of remote file:
- 335 MB
- SHA256:
- 185b0c03485b4048bb6158de087df301b79ea187844c76ae91cd4cda207282a2
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