Instructions to use Skywork/Matrix-Game with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Skywork/Matrix-Game 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("Skywork/Matrix-Game", torch_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
| { | |
| "architectures": [ | |
| "LlavaForConditionalGeneration" | |
| ], | |
| "ignore_index": -100, | |
| "image_token_index": 128257, | |
| "model_type": "llava", | |
| "pad_token_id": 128258, | |
| "projector_hidden_act": "gelu", | |
| "text_config": { | |
| "architectures": [ | |
| "LlamaForCausalLM" | |
| ], | |
| "bos_token_id": 128000, | |
| "eos_token_id": 128001, | |
| "intermediate_size": 14336, | |
| "max_position_embeddings": 8192, | |
| "model_type": "llama", | |
| "num_key_value_heads": 8, | |
| "rms_norm_eps": 1e-05, | |
| "rope_theta": 500000.0, | |
| "torch_dtype": "float16", | |
| "vocab_size": 128320 | |
| }, | |
| "torch_dtype": "float16", | |
| "transformers_version": "4.40.1", | |
| "vision_config": { | |
| "architectures": [ | |
| "CLIPVisionModel" | |
| ], | |
| "dropout": 0.0, | |
| "hidden_size": 1024, | |
| "image_size": 336, | |
| "intermediate_size": 4096, | |
| "model_type": "clip_vision_model", | |
| "num_attention_heads": 16, | |
| "num_hidden_layers": 24, | |
| "patch_size": 14, | |
| "projection_dim": 768, | |
| "torch_dtype": "float32" | |
| }, | |
| "vision_feature_layer": -2, | |
| "vision_feature_select_strategy": "default" | |
| } | |