gemma4-12b-with-proj-ltx-2.5-bf16.safetensors
Gemma 4 12B with Projection BF16 (Text Encoder)
Full BF16 Gemma 4 12B text encoder for LTX 2.5, with the projection layer bundled into this single file — LTX 2.3 needed a separate text-projection file, 2.5 does not. Required for every LTX 2.5 workflow. Place in models/text_encoders/. Repo is gated.
Download gemma4-12b-with-proj-ltx-2.5-bf16.safetensors
Official HuggingFace repo — sign in and click "Agree and Access" to accept the LTX 2.5 license before this downloads. 26.26 GB · Free.
No 32GB GPU? Try gemma4-12b-with-proj-ltx-2.5-bf16.safetensors online — free generation included
Skip the 26.26 GB download and ComfyUI setup. Generate a 6-second video using this exact model in your browser, ~30 seconds.
Will this run on my GPU?
Minimum: 32GB VRAM.
How to use gemma4-12b-with-proj-ltx-2.5-bf16.safetensors
- Download the file from HuggingFace.
- Place it in ComfyUI/models/text_encoders/ inside your ComfyUI directory.
- Restart ComfyUI (or refresh the model list from the menu).
- Load a compatible workflow — see below.
See the LTX 2.5 ComfyUI setup guide for the full file list and install order.
Don't want to run this locally? Try gemma4-12b-with-proj-ltx-2.5-bf16.safetensors online with a free generation — no GPU, no install, ~30 seconds per clip.
ComfyUI says it can't find gemma4-12b-with-proj-ltx-2.5-bf16.safetensors?
Some published workflow JSONs reference this file under a custom subdirectory. If ComfyUI shows a "cannot find model" error and your workflow references one of these path-prefixed variants:
- text_encoders/gemma4-12b-with-proj-ltx-2.5-bf16.safetensors
The prefix before the slash or backslash is a subdirectory the workflow author used. The actual file is the same gemma4-12b-with-proj-ltx-2.5-bf16.safetensors — you have two fixes:
- Create the matching subdirectory inside ComfyUI/models/text_encoders/ and place the file there. Example: if the workflow references text_encoders/gemma4-12b-with-proj-ltx-2.5-bf16.safetensors, create the corresponding subfolder under ComfyUI/models/text_encoders/ and put gemma4-12b-with-proj-ltx-2.5-bf16.safetensors inside it.
- Or open the workflow JSON in a text editor and replace the prefixed string with just gemma4-12b-with-proj-ltx-2.5-bf16.safetensors. ComfyUI then resolves it directly from ComfyUI/models/text_encoders/.
On Windows the separator is \, on macOS/Linux it is / — they refer to the same nested folder regardless of platform.
Common issues
ComfyUI doesn't see the file after I downloaded it▼
Make sure the file is in ComfyUI/models/text_encoders/ (not a subfolder). Restart ComfyUI fully — the menu refresh sometimes misses new files. Filename must match exactly: gemma4-12b-with-proj-ltx-2.5-bf16.safetensors.
CUDA out of memory error when loading the model▼
gemma4-12b-with-proj-ltx-2.5-bf16.safetensors needs ~32GB VRAM minimum. If you're hitting OOM: • Enable Sequential Offloading in ComfyUI settings • Lower the resolution (768×512 instead of 1280×704) — both dimensions must be divisible by 32 • Reduce frame count (65 frames instead of 161) — must be 8n+1 • Use a smaller variant — see Related models below.
How do I apply this LoRA in ComfyUI?▼
Load it in a 'LoraLoader' node and connect it after your model loader. Pair this LoRA with the dev base model (not the distilled one) for the right behavior. LoRA strength 1.0 is the trained value — start there.
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