Instructions to use Remade-AI/Crane_up with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Remade-AI/Crane_up 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/Crane_up") prompt = "A woman in a white dress is walking across a large, reflective body of water with mountains in the background. The words \"REMADE\" are etched into the surface near the water. The cr4n3 crane up effect is applied, smoothly lifting the camera's viewpoint higher, revealing more of the surrounding landscape, including the shoreline and the vast expanse of water ahead as the woman continues walking into the distance." 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
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