Text-to-Image
Diffusers
TensorBoard
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
textual_inversion
Instructions to use manosp/textual_inversion_moto with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use manosp/textual_inversion_moto with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("runwayml/stable-diffusion-v1-5", dtype=torch.bfloat16, device_map="cuda") pipe.load_textual_inversion("manosp/textual_inversion_moto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 1475923308a75b35b7efce58e6a1c1c38c4bbad2987ef666f14149a48cd6f233
- Size of remote file:
- 3.84 kB
- SHA256:
- 9753cfb9eddcc7e6512aee7c8038cc23010704fbc93b099a13abd9b6557412f9
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