Text-to-Image
Diffusers
TensorBoard
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
textual_inversion
Instructions to use manosp/audio_inversion_cat with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use manosp/audio_inversion_cat with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("fill-in-base-model", dtype=torch.bfloat16, device_map="cuda") pipe.load_textual_inversion("manosp/audio_inversion_cat") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Ctrl+K
- 1689253167.607172
- 1689253167.609333
- 1689253273.6435933
- 1689253273.6458743
- 1689253409.366505
- 1689253409.3687513
- 1689254068.9782665
- 1689254068.9806187
- 1689255471.5416772
- 1689255471.5432942
- 1689255529.8736153
- 1689255529.876004
- 1689339474.8780582
- 1689339474.8803751
- 1689341156.5645792
- 1689341156.567027
- 1689341606.0289376
- 1689341606.0312734
- 1689341679.470644
- 1689341679.4722838
- 1689342065.995133
- 1689342065.9975328
- 1689342100.8974402
- 1689342100.8998537
- 1689342150.6073508
- 1689342150.6097178
- 1689342430.887909
- 1689342430.8904428
- 1689342489.7243679
- 1689342489.7269223
- 1689342692.459996
- 1689342692.4624302
- 88 Bytes xet
- 88 Bytes xet
- 88 Bytes xet
- 88 Bytes xet
- 88 Bytes xet
- 88 Bytes xet
- 88 Bytes xet
- 88 Bytes xet
- 88 Bytes xet
- 88 Bytes xet
- 88 Bytes xet
- 88 Bytes xet
- 322 Bytes xet
- 322 Bytes xet
- 5.9 kB xet
- 1.01 MB xet