Image-to-Video
Diffusers
Safetensors
English
Chinese
WanGameActionImageToVideoPipeline
video
video-generation
Instructions to use weizhou03/Wan2.1-Game-Fun-1.3B-InP-Diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use weizhou03/Wan2.1-Game-Fun-1.3B-InP-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("weizhou03/Wan2.1-Game-Fun-1.3B-InP-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
Update transformer/config.json
Browse files- transformer/config.json +1 -1
transformer/config.json
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{
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"_class_name": "
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"_diffusers_version": "0.33.0.dev0",
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"added_kv_proj_dim": 5120,
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"attention_head_dim": 128,
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{
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"_class_name": "WanGameActionTransformer3DModel",
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"_diffusers_version": "0.33.0.dev0",
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"added_kv_proj_dim": 5120,
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"attention_head_dim": 128,
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