Instructions to use Remade-AI/Deflate with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Remade-AI/Deflate 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("Wan-AI/Wan2.1-I2V-14B-480P,Wan-AI/Wan2.1-I2V-14B-480P-Diffusers", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Remade-AI/Deflate") prompt = "The video opens with a man. As the video progresses, the man begins to d3d1at3 deflate it, gradually shrinking and losing shape, eventually flattening completely into a lifeless, deflated mass on the ground. " input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/guitar-man.png") image = pipe(image=input_image, prompt=prompt).frames[0] export_to_video(output, "output.mp4") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
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<li><b>Base Model:</b> Wan2.1 14B I2V 480p</li>
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<li><b>Training Data:</b> Trained on 1.5 minutes of video comprised of 20 short clips (each clip captioned separately) of things being deflated</li>
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<li><b>Epochs:</b>
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<li><b>Base Model:</b> Wan2.1 14B I2V 480p</li>
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<li><b>Training Data:</b> Trained on 1.5 minutes of video comprised of 20 short clips (each clip captioned separately) of things being deflated</li>
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<li><b>Epochs:</b> 20</li>
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