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-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") output = pipe(image=input_image, prompt=prompt).frames[0] export_to_video(output, "output.mp4") - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
Download example_videos/lamp_deflate.mp4 from Remade-AI/Deflate: direct link, hf CLI and curl.
- Browser
- Download file 809 kB
-
https://huggingface.co/Remade-AI/Deflate/resolve/main/example_videos/lamp_deflate.mp4
- Command line
-
hf download hf://Remade-AI/Deflate/example_videos/lamp_deflate.mp4
-
curl -L -o lamp_deflate.mp4 https://huggingface.co/Remade-AI/Deflate/resolve/main/example_videos/lamp_deflate.mp4
809 kB
- Xet hash:
- ff2f65032532dde4d0bb69b30b2c38335747d0e9d0668c3ae54a981862f1f6c6
- Size of remote file:
- 809 kB
- SHA256:
- 3228c757cb2e7d19e9c659d0f7e7597f59552d820bda496f36791ab8eba78682
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