Instructions to use SimpleTuner/ltxvideo-2.3-distilled-convrot-int8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use SimpleTuner/ltxvideo-2.3-distilled-convrot-int8 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("SimpleTuner/ltxvideo-2.3-distilled-convrot-int8", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
| { | |
| "artifact": "ltx-2.3-convrot-int8.safetensors", | |
| "artifact_bytes": 19485049192, | |
| "artifact_sha256": "722e2498f59306aa007f25560d6069f621ae57c90705cdaa0e2de4a1db996d05", | |
| "base_model": "Lightricks/LTX-2.3", | |
| "base_model_file": "ltx-2.3-22b-distilled.safetensors", | |
| "base_model_sha256": "14409a4d1337a8ded02fa87fb895b17a91ab2c6588f7cc3352e624ff18a689bf", | |
| "convrot_group_size": 256, | |
| "main_transformer_quantized_linears": 1344, | |
| "quantization": "INT8 ConvRot with MSE-optimal per-row clipping", | |
| "quantization_tool": "Comfy-Org/comfy-model-tools", | |
| "quantization_tool_commit": "1fe341bb8a4e46f161a978b5faa2412d8c39c768", | |
| "relative_weight_error_percent": { | |
| "max": 1.446, | |
| "mean": 0.859, | |
| "min": 0.799 | |
| }, | |
| "validation": { | |
| "finite_audio_video_forward": true, | |
| "hardware": "NVIDIA H200", | |
| "load_seconds": 1.321, | |
| "mean_warmed_transformer_step_seconds": 0.5493, | |
| "peak_allocated_gib": 19.139, | |
| "shape": "768x512, 121 frames, 1024 text tokens" | |
| } | |
| } | |