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:
- 77b2d74d6cdd71b3cb4615f1a8e33efce14b8566b622004f3de4cf5776caef68
- Size of remote file:
- 3.94 kB
- SHA256:
- 8a6737e94a7ec0d9475876330932b8c57ca975f9eb08947476e846032c9fbcc7
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