Instructions to use ViTeX-Bench/ViTeX-Edit-14B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ViTeX-Bench/ViTeX-Edit-14B with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("ViTeX-Bench/ViTeX-Edit-14B", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
| { | |
| "_class_name": "VaceWanModel", | |
| "_diffusers_version": "0.30.0", | |
| "dim": 5120, | |
| "eps": 1e-06, | |
| "ffn_dim": 13824, | |
| "freq_dim": 256, | |
| "in_dim": 16, | |
| "model_type": "vace", | |
| "num_heads": 40, | |
| "num_layers": 40, | |
| "out_dim": 16, | |
| "text_len": 512, | |
| "vace_layers": [0, 5, 10, 15, 20, 25, 30, 35], | |
| "vace_in_dim": 96 | |
| } | |