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
| { | |
| "_class_name": "WanModel", | |
| "_diffusers_version": "0.30.0", | |
| "dim": 5120, | |
| "eps": 1e-06, | |
| "ffn_dim": 13824, | |
| "freq_dim": 256, | |
| "in_dim": 36, | |
| "model_type": "i2v", | |
| "num_heads": 40, | |
| "num_layers": 40, | |
| "out_dim": 16, | |
| "text_len": 512 | |
| } | |