Instructions to use AEmotionStudio/kiwi-edit-instruct with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use AEmotionStudio/kiwi-edit-instruct with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline from diffusers.utils import load_image, export_to_video # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("AEmotionStudio/kiwi-edit-instruct", dtype=torch.bfloat16, device_map="cuda") pipe.to("cuda") prompt = "A man with short gray hair plays a red electric guitar." image = load_image( "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/guitar-man.png" ) output = pipe(image=image, prompt=prompt).frames[0] export_to_video(output, "output.mp4") - Notebooks
- Google Colab
- Kaggle
File size: 265 Bytes
ab11fc4 | 1 2 3 4 5 6 7 8 9 10 11 12 | {
"_class_name": "MLLMEncoder",
"mllm_model_path": ".",
"dit_dim": 3072,
"hidden_size": 2048,
"num_image_queries": 256,
"num_video_queries": 512,
"num_ref_queries": 768,
"max_object_token": 768,
"max_frames": 16,
"max_pixels_per_frame": 262144
} |