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
- Xet hash:
- 8e2519750a2cd7ffebbcaef0eee79d83249e41083ea4d36d320c24416cfec324
- Size of remote file:
- 1.36 GB
- SHA256:
- b26d574dfc81b6aa78e452773e4205c1af8b107e3f3ecc1115eecea045805c43
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.