Instructions to use Soul25r/camera-acima-cabeca with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Soul25r/camera-acima-cabeca 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("Soul25r/camera-acima-cabeca") prompt = "A young man with curly hair and wire frame wings stands in an abandoned building, looking directly at the camera. The camera begins a cr4n3 crane over the head movement, rising smoothly upwards. As the cr4n3 crane over the head movement progresses, the young man looks up towards the camera. The cr4n3 crane over the head movement concludes with a high-angle shot, looking down at the young man with his wire frame wings." 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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