Instructions to use PeterLOVANAS/multitalk-saved with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use PeterLOVANAS/multitalk-saved with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("PeterLOVANAS/multitalk-saved", dtype=torch.bfloat16, device_map="cuda") prompt = "Prompt: A gritty close-up of an elven princess kneeling in a rocky ravine, calming a wounded, desert dragon. Its scales are cracked, dry, She wears a crimson sash over bone-colored armor, her auburn hair half-tied back. The camera dollies in rapidly as she reaches for its eye ridge. Lighting comes from golden sunlight reflecting off surrounding rock, casting a warm, earthy hue with no artificial glow." image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle

- Xet hash:
- 444f840cf0d88a026567336ed5007f710e5421a1d68985b533d6f8ae1a505520
- Size of remote file:
- 892 kB
- SHA256:
- 6823b3206d8d0cb18d3b5b949dec1217f1178109ba11f14e977b67e1f7b8a248
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.