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| File | Size | Put in |
|---|---|---|
| ltx-2.5-22b-distilled-bnb-nf4.safetensors | 10.4 GB | diffusion_models/ |
| embeddings_processor_bf16.safetensors | 6.3 GB | diffusion_models/ |
| gemma4-12b-with-proj-ltx-2.5-bf16.safetensors | 26 GB | text_encoders/ |
| ltx-2.5-video-vae-bf16.safetensors | 1.5 GB | vae/ |
| ltx-2.5-audio-vae-bf16.safetensors | 0.36 GB | vae/ |
The ~26 GB text encoder runs 8-bit (LLM.int8) spread across 2 GPUs during captioning/generation and is freed; it is not loaded during training (training uses cached embeddings). It works fine on 12 GB cards.