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:
- d1a75695c198c43413ae8790e02dc594d59eb76b079d55685dcde2e66a6cf9bf
- Size of remote file:
- 405 MB
- SHA256:
- 9fc60b8c39a4ae0dc9446827653cca9360bd26d889916caee599c602ed958202
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