realrebelai/LTX-2.5_GGUFs
text-to-video model by realrebelai
From the publisher
Model card & documentation
Source previewRead the publisher’s intended use, setup instructions, evaluations and limitations. The original model card is the source of truth.
GGUF quantizations of Lightricks' LTX-2.5, converted for ComfyUI with ComfyUI-GGUF. LTX-2.5 generates video and synchronized audio in a single pass — a dual-stream DiT with a 4096-wide video path, a 2048-wide audio path, and cross-modal attention joining them. The bf16 transformer is 39 GB. These quants bring it to 8-22 GB. All original licensing terms and usage restrictions carry over from the base model. If you convert LTX-2.5 to GGUF yourself, it will not load. These files have the fix baked in; this section explains what it is, because it isn't obvious and it cost a night to find. ComfyUI derives most model dimensions from tensor shapes. For LTX-2.5 it can't: the connector widths, the audio path dimension, and the 9-row modulation tables are only knowable from a config blob stored in the original safetensors metadata. ComfyUI reads it here: GGUF has no metadata field, so every standard conversion drops…
Read the full model card ↗ · Preview checked 2026-10-29T07:34:50.362Z
Inside the original model card — Document outline
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Model overview
realrebelai/LTX-2.5_GGUFs is a text-to-video model repository published by realrebelai on Hugging Face. The source reports the gguf library.
This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.
Model facts
- Task
- text-to-video
- Library
- gguf
- Recent downloads (30 days)
- 39,271
- Cumulative likes
- 42
- Hugging Face trending score
- 1
- Reported safetensors parameters
- Not reported
- Architecture
- Not reported
- License
- other
- Access
- Not gated by Hugging Face
- Created
- 2026-08-12T01:27:03.000Z
- Last modified
- 2026-08-12T13:30:58.000Z
Compatibility and lineage
Language coverage was not reported.
Reported base models: Lightricks/LTX-2.5
Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.
Use and evaluate
Check license terms and access requirements first. Review the model card’s documented loading instructions, evaluations and safety limitations. Benchmark scores are not imported by this directory, and popularity is not an accuracy ranking.
No model weights are downloaded or executed by AltAPIs. Never enable remote model code without reviewing it.
Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-11-01T06:51:32.159Z. Daily imports are snapshots, not real-time monitoring.
Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.
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