Video-to-Video
Diffusers
lora
template:diffusion-lora
ltx-2.3
colorize
black&white
color
video2video
vid2vid
IC-LoRA
Instructions to use DoctorDiffusion/LTX-2.3-IC-LoRA-Colorizer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use DoctorDiffusion/LTX-2.3-IC-LoRA-Colorizer with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Lightricks/LTX-2.3", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("DoctorDiffusion/LTX-2.3-IC-LoRA-Colorizer") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
| tags: | |
| - lora | |
| - diffusers | |
| - template:diffusion-lora | |
| - ltx-2.3 | |
| - colorize | |
| - black&white | |
| - color | |
| - video2video | |
| - vid2vid | |
| - IC-LoRA | |
| widget: | |
| - output: | |
| url: images/IC-Color_00001.png | |
| text: '-' | |
| base_model: | |
| - Lightricks/LTX-2.3 | |
| instance_prompt: null | |
| license: apache-2.0 | |
| pipeline_tag: video-to-video | |
| # LTX-2.3-IC-LoRA-Colorizer | |
| <Gallery /> | |
| ## Model description | |
| Still a work in progress. | |
| Use with LTX-2.3 IC workflows to add color to black and white footage. | |
| It is not perfect by any means but for the best results I recommend to: | |
| - Use the IC-LoRA workflow from Lightricks and bypass the controlnet part (I can provide a workflow if wanted) | |
| - Prompt for what colors you want things to be | |
| - Use a colorized inference frame for better color control | |
| - Overlay the final result over your input using a "color" blend mode to preserve the fine details of the original footage. | |
| - Generate color maps at half your target resolution for speed. | |
| ## Download model | |
| [Download](/DoctorDiffusion/LTX-2.3-IC-LoRA-Colorizer/tree/main) them in the Files & versions tab. |