Image-to-Video
Diffusers
Safetensors
English
lora
ltx
ltx-2
ltx-2-3
ltx-video
video-to-video
comfyui
occlusion-removal
video-restoration
scene-reconstruction
Instructions to use WepeNerd/Obscura_Remova with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use WepeNerd/Obscura_Remova 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("Lightricks/LTX-2.3", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("WepeNerd/Obscura_Remova") prompt = "Remove the window curtains from the foreground." 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
Upload 10 files
Browse files- .gitattributes +10 -0
- examples/1.mp4 +3 -0
- examples/10.mp4 +3 -0
- examples/2.mp4 +3 -0
- examples/3.mp4 +3 -0
- examples/4.mp4 +3 -0
- examples/5.mp4 +3 -0
- examples/6.mp4 +3 -0
- examples/7.mp4 +3 -0
- examples/8.mp4 +3 -0
- examples/9.mp4 +3 -0
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