comfy_gemma_3_12B_it.safetensors
Gemma 3 12B IT BF16 (Text Encoder)
Full BF16 Gemma 3 12B IT text encoder (HF filename gemma_3_12B_it.safetensors — workflows reference it as comfy_gemma_3_12B_it.safetensors, rename after download). Place in models/text_encoders/.
Download comfy_gemma_3_12B_it.safetensors
Direct HuggingFace download. 24.4 GB · Free.
No 32GB GPU? Try comfy_gemma_3_12B_it.safetensors online — free generation included
Skip the 24.4 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.
Recommendation: Rename to comfy_gemma_3_12B_it.safetensors after downloading. Use on 32 GB+ cards for highest text-encoder quality.
How to use comfy_gemma_3_12B_it.safetensors
- Download the file from HuggingFace.
- Place it in ComfyUI/models/loras/ inside your ComfyUI directory.
- Restart ComfyUI (or refresh the model list from the menu).
- Load a compatible workflow — see below.
Don't want to run this locally? Try comfy_gemma_3_12B_it.safetensors online with a free generation — no GPU, no install, ~30 seconds per clip.
Common issues
ComfyUI doesn't see the file after I downloaded it▼
Make sure the file is in ComfyUI/models/loras/ (not a subfolder). Restart ComfyUI fully — the menu refresh sometimes misses new files. Filename must match exactly: comfy_gemma_3_12B_it.safetensors.
CUDA out of memory error when loading the model▼
comfy_gemma_3_12B_it.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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