Instructions to use SidXXD/67 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use SidXXD/67 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("SidXXD/67", dtype=torch.bfloat16, device_map="cuda") prompt = "photo of a <v1*> person" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
- 1729979320.8124714
- 1729979320.813975
- 1730010114.7278283
- 1730010114.7294111
- 1730029874.8982413
- 1730029874.8998532
- 1730113887.36872
- 1730113887.3706017
- 1730113970.1577404
- 1730113970.1593194
- 1730114044.64055
- 1730114044.6426983
- 1730114143.1441739
- 1730114143.1457355
- 20.8 kB xet
- 20.8 kB xet
- 20.8 kB xet
- 20.8 kB xet
- 20.8 kB xet
- 20.8 kB xet
- 20.8 kB xet