Image-to-Video
Diffusers
Safetensors
Kandinsky6TI2VAPipeline
video
video-generation
text-to-video
audio-generation
kandinsky
Instructions to use ml-resources/Kandinsky-6.0-Pro-5s-Diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ml-resources/Kandinsky-6.0-Pro-5s-Diffusers 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("ml-resources/Kandinsky-6.0-Pro-5s-Diffusers", 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
Download model_index.json from ml-resources/Kandinsky-6.0-Pro-5s-Diffusers: direct link, hf CLI and curl.
- Browser
- Download file 703 Bytes
-
https://huggingface.co/ml-resources/Kandinsky-6.0-Pro-5s-Diffusers/resolve/main/model_index.json
- Command line
-
hf download hf://ml-resources/Kandinsky-6.0-Pro-5s-Diffusers/model_index.json
-
curl -L -o model_index.json https://huggingface.co/ml-resources/Kandinsky-6.0-Pro-5s-Diffusers/resolve/main/model_index.json
703 Bytes
| { | |
| "_class_name": "Kandinsky6TI2VAPipeline", | |
| "_diffusers_version": "0.41.0.dev0", | |
| "transformer": [ | |
| "diffusers", | |
| "Kandinsky6Transformer3DModel" | |
| ], | |
| "vae": [ | |
| "diffusers", | |
| "AutoencoderKLHunyuanVideo" | |
| ], | |
| "scheduler": [ | |
| "diffusers", | |
| "FlowMatchEulerDiscreteScheduler" | |
| ], | |
| "text_encoder": [ | |
| "transformers", | |
| "Qwen2_5_VLForConditionalGeneration" | |
| ], | |
| "tokenizer": [ | |
| "transformers", | |
| "Qwen2_5_VLProcessor" | |
| ], | |
| "text_encoder_2": [ | |
| "transformers", | |
| "CLIPTextModel" | |
| ], | |
| "tokenizer_2": [ | |
| "transformers", | |
| "CLIPTokenizer" | |
| ], | |
| "audio_vae": [ | |
| "diffusers", | |
| "MMAudioVAE" | |
| ], | |
| "vocoder": [ | |
| "diffusers", | |
| "MMAudioVocoder" | |
| ] | |
| } | |