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
File size: 989 Bytes
61a8d3f | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 | {
"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"
}
}
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