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sph_ltx2_5
kailasa-ngpt/sph_ltx2_5
sph_ltx2_5 is a image-to-video model from kailasa-ngpt. Use it for the image-to-video task on the model card, and read the license before you ship it in a product. It is set up for diffusers. The card lists the license as other.
A LoRA fine-tune of Lightricks/LTX-2 trained using Ostris AI Toolkit.
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Repo size
617 MB
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.safetensors617 MB · 100%
At a glance
- Task
- Image-to-Video
- Library
- diffusers
- License
- other
- Access
- Public
- Created
- Feb 22, 2026
- Updated
- Feb 27, 2026
- SHA
- 53328520
Base models
Model card
From the Hugging Face model README
SPH - LTX-2 LoRA
A LoRA fine-tune of Lightricks/LTX-2 trained using Ostris AI Toolkit.
Model Details
| Parameter | Value |
|---|---|
| Base Model | Lightricks/LTX-2 |
| Type | LoRA |
| Trigger Word | SPH |
| Resolution | 768x768 |
| Frames | 121 (~5s at 24fps) |
| Training Steps | 2000 |
| Precision | bf16 |
LoRA Configuration
| Parameter | Value |
|---|---|
| Linear Rank | 32 |
| Linear Alpha | 16 |
| Conv Rank | 16 |
| Conv Alpha | 16 |
Training Details
- Hardware: NVIDIA A100 SXM 80GB (RunPod)
- Optimizer: AdamW 8-bit (weight decay: 0.0001)
- Learning Rate: 1e-4
- Batch Size: 1 (gradient accumulation: 4, effective batch size: 4)
- Noise Scheduler: Flow Matching
- Timestep Type: Weighted
- Content/Style: Balanced
- EMA: Enabled (decay: 0.99)
- Gradient Checkpointing: Enabled
- Loss: MSE
- Caption Dropout: 10%
The model was trained on both text-to-video and image-to-video datasets with 2 repeats each.
Usage
Use the trigger word SPH in your prompt to activate the LoRA.
Example Prompts
SPH, smiling and blessing with both hands up, seated in golden ceremonial attire, looking at camera.
SPH sitting on the golden throne with both legs folded and hands in a blessing posture, ornate jewelry, devotional setting.
Files
sph_ltx2_5.safetensors- LoRA weightsfinetune-config.yaml- Full training configuration
Framework
- Training Framework: Ostris AI Toolkit
- Inference: Diffusers
- Task
- Image-to-Video
- Library
- diffusers
- License
- other
- Wavespeed
- live
- Created
- Feb 22, 2026
- Updated
- Feb 27, 2026