Image-Text-to-Video
Diffusers
Diffusion Single File
lora
template:diffusion-lora
image-to-video
text-to-video
video-to-video
audio-to-video
text-to-audio
video-to-audio
audio-to-audio
text-to-audio-video
image-to-audio-video
image-text-to-audio-video
ltx-video
lightricks
comfyui
ltx-2.5
Instructions to use rzgar/ltx-2.5-22b-distilled-lora-450-enhanced-n4w with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use rzgar/ltx-2.5-22b-distilled-lora-450-enhanced-n4w 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-2.5", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("rzgar/ltx-2.5-22b-distilled-lora-450-enhanced-n4w") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Diffusion Single File
How to use rzgar/ltx-2.5-22b-distilled-lora-450-enhanced-n4w with Diffusion Single File:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
LTX-2.5 Distilled LoRA Enhanced
txt2vid
Model description
Some generic text: The official distilled LoRA more or less acts as a negative strength when stacked with N54W LoRAs, fighting against their appearance and animation characteristics. This lora is an attempt to solve that conflict. Instead of counteracting, it works with N54W LoRAs, improving motion and appearance to varying degrees.
Files
| File | Size |
|---|---|
ltx-2.5-22b-distilled-lora-450-rank_450_n4w.safetensors |
Download 8.90 GB |
ltx-2.5-22b-distilled-lora-450-rank_384_n4w.safetensors |
Download 7.61 GB |
ltx-2.5-22b-distilled-lora-450-rank_256_n4w.safetensors |
Download 5.10 GB |
Companion LoRA | (Optional)
Usage
- Strength: 0.55 - 0.65
- Sampler: euler_ancestral | euler_cfg_pp
- Model: LTX-2.5 Dev | int8-convrot (none-distilled checkpoints only)
- Stack it with your preferred N54W LoRA:s
Download model
Download them in the Files & versions tab.
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Model tree for rzgar/ltx-2.5-22b-distilled-lora-450-enhanced-n4w
Base model
Lightricks/LTX-2.5