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
- Draw Things
- DiffusionBee
Ctrl+K
- checkpoint-1000
- checkpoint-1500
- checkpoint-2000
- checkpoint-2500
- checkpoint-3000
- checkpoint-500
- feature_extractor
- logs
- safety_checker
- scheduler
- text_encoder
- tokenizer
- unet
- vae
- 1.52 kB
- 512 Bytes
- 436 kB
- 399 kB
- 521 kB
- 369 kB
- 3.94 kB xet
- 3.94 kB xet
- 3.94 kB xet
- 3.94 kB xet
- 3.94 kB xet
- 3.93 kB xet
- 3.84 kB xet
- 582 Bytes