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
| torch>=2.7.0 | |
| torchvision | |
| transformers | |
| imageio | |
| imageio-ffmpeg | |
| safetensors | |
| einops | |
| sentencepiece | |
| protobuf | |
| ftfy | |
| pandas | |
| accelerate>=1.13.0 | |
| peft | |
| datasets | |
| opencv-python | |
| numpy | |
| Pillow | |
| tqdm | |
| huggingface_hub | |