Instructions to use Shivlal6660/LTX_2.3_Soft_Enhance_Style_LoRa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Shivlal6660/LTX_2.3_Soft_Enhance_Style_LoRa with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline from diffusers.utils import export_to_video # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Lightricks/LTX-Video", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Shivlal6660/LTX_2.3_Soft_Enhance_Style_LoRa") prompt = "A man with short gray hair plays a red electric guitar." output = pipe(prompt=prompt).frames[0] export_to_video(output, "output.mp4") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
Soft Enhance
Soft Enhance is a natural detail enhancer LoRA made for users who want a cleaner, more refined look.
It adds subtle detail, improves overall clarity, and helps soften some of the stronger contrast characteristics of LTX 2.3. The result is a smoother, more natural finish that keeps detail present without making the image feel overly sharp.
This is the softer counterpart to Crisp Enhance, which pushes a sharper, more cinematic beautifier-style look. Both LoRAs can be used together and balanced at different strengths to create a custom enhancer look depending on the scene and the amount of sharpness or softness you want.
The workflow used to create the sample videos can be found HERE. Just swap in the LoRA and prompt.
Sample Videos
Sample 1
Sample 2
Sample 3
Sample 4
Sample 5
Good For
- Natural-looking enhancement
- Softer detail recovery
- Reducing harsh contrast
- Smoother skin and cleaner tonal transitions
- Dialing in a balanced look when mixed with Crisp Enhance
Best Use
Use Soft Enhance when you want added detail and polish, but with a gentler, more organic result.
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Model tree for Shivlal6660/LTX_2.3_Soft_Enhance_Style_LoRa
Base model
Lightricks/LTX-Video