Instructions to use Remade-AI/Inflate with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Remade-AI/Inflate 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/Inflate") prompt = "The large, bald man rides a gray donkey, then infl4t3 inflates it, both the man and the donkey expanding into giant, inflated figures against the desert landscape." 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 workflow/workflow_screenshot.png from Remade-AI/Inflate: direct link, hf CLI and curl.
- Browser
- Download file 599 kB
-
https://huggingface.co/Remade-AI/Inflate/resolve/main/workflow/workflow_screenshot.png
- Command line
-
hf download hf://Remade-AI/Inflate/workflow/workflow_screenshot.png
-
curl -L -o workflow_screenshot.png https://huggingface.co/Remade-AI/Inflate/resolve/main/workflow/workflow_screenshot.png
599 kB

- Xet hash:
- ad1ee9ede60271e5970f5ea4a35439e37085dfa41f10e1eccf484c1a5f9d9528
- Size of remote file:
- 599 kB
- SHA256:
- 3338aa0853c58162a34c0215e83fdc8d4a465c044ef6b0fb4e001d80277c4cb6
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