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:
- df232240bba25024f08eff9d8d561dd980e2adbcf1294b9e39aded37484aee1e
- Size of remote file:
- 5.03 kB
- SHA256:
- e082849a8b2d3dfde8ba1bdd18d1c9e74b0f84382577a1332889dc9796692869
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