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Build Qwen Image 2512 text-to-image workflows — QwenImageIntegratedKSampler, separate component loading, lightning LoRAs, and fine-tuned model variants
Passed 21 of 22 test cases with the skill, and 7 of 22 without it.
and 20 more in the full report
14 fixed7 passed either way1 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 14 test cases the skill fixed. Same model, same prompt, with and without the skill.
When setting up the text encoder loader for the Qwen vision-language model inside ComfyUI, what specific enum string must be assigned to the loader node's type input?
| Checked | Without skill | With skill |
|---|---|---|
| The type parameter is set to qwen_image. | Missed | Passed |
The instructions your model reads when the skill loads.
Qwen Image 2512 is the latest (December 2025) text-to-image model from the Qwen family. It uses a vision-language model (Qwen2.5-VL) as the text encoder and generates high-quality images from natural language prompts. Two workflow approaches:
| Component | Node | Model | Notes |
|---|---|---|---|
| UNET | UNETLoader | qwen_image_2512_fp8_e4m3fn.safetensors | FP8, not currently installed — download if needed |
| CLIP | CLIPLoader (type=qwen_image) | qwen_2.5_vl_7b_fp8_scaled.safetensors | Shared across all Qwen models, in clip/ |
| VAE | VAELoader | qwen_image_vae.safetensors | Qwen-specific VAE (242MB) |
| Model | Path | Focus |
|---|---|---|
qwenImageEditRemix_v10 | diffusion_models/qwenImageEditRemix_v10.safetensors | General-purpose remix |
qwenUltimateRealism_v11 | UNETLoader path | Product photography, hyper-realistic |
copaxTimeless | UNETLoader path | Ultra-realistic portraits |
qwnImageEdit_v16Bf16 | UNETLoader path | Abliterated (uncensored) |
{
"class_type": "LoraLoaderModelOnly",
"inputs": {
"model": ["<unet_node>", 0],
"lora_name": "Qwen-Image-Lightning-4steps-V1.0.safetensors",
"strength_model": 1.0
}
test cases passed, vs 7 / 22 without
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