Wire Qwen Turbo toggle through Studio 2 and the runner.
Force 6/1 when Turbo is on, skip negatives, keep PE in front, and fail closed if the r128 LoRA is missing. Co-authored-by: Cursor <cursoragent@cursor.com>
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@@ -42,6 +42,7 @@ Restart Comfy **only when idle** (`COMFY_CONTROL_URL/status` → `gpu.busy=false
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- Edit follows `image_1` via the encode node’s latent (resolution long-edge ~1024). Do not inject a picker EmptyLatentImage onto the edit sampler.
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- Optional **Enhance prompt** (off by default): runs a separate PE-only Comfy graph (`CLIPLoader` + rewrite node), then frees VRAM and queues the existing T2I/Edit graph with the rewritten prompt. Never loads PE CLIP + DiT together on 16 GB. Fail closed if `parse_ok` is false or the rewrite is empty.
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- PE weights (int8 only): `text_encoders\qwen3.5_9b_qwen_image_2.1_pe_{t2i,i2i}.int8_convrot.safetensors` — do not replace the image TE `qwen3vl_8b_int8_convrot.safetensors`.
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- Custom node: `ComfyUI-Qwen-Image-2.1-Prompt-Enhancer` (`QwenImage21_T2IPromptRewrite` / `QwenImage21_EditPromptRewrite`).
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- Optional **Turbo** (off by default): Viggle DMD LoRA `Qwen-Image-2.1-viggle-turbo-v0.2.1-6step-lora-r128.safetensors` on the same Q8 GGUF via `ViggleTurboLora` + `ViggleTurboSigmas` (`1.0, 0.9375, 0.875, 0.75, 0.5, 0.25`), 6 steps, CFG 1, empty negative. Not a new engine. Enhance prompt stays compatible and is recommended with Turbo.
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- Custom node: `ComfyUI-Viggle-Turbo` (`viggle_turbo.py`). Do not merge the LoRA with stock `LoraLoaderModelOnly` (lossy on int8/bf16).
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Graphs: `server/assets/studio2_qwen21_t2i.json`, `server/assets/studio2_qwen21_edit.json`, `server/assets/studio2_qwen21_pe_t2i.json`, `server/assets/studio2_qwen21_pe_edit.json`.
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Graphs: `server/assets/studio2_qwen21_t2i.json`, `server/assets/studio2_qwen21_edit.json`, `server/assets/studio2_qwen21_t2i_turbo.json`, `server/assets/studio2_qwen21_edit_turbo.json`, `server/assets/studio2_qwen21_pe_t2i.json`, `server/assets/studio2_qwen21_pe_edit.json`.
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