NSWaveSpeedQwenTextToImageLora

Text-to-image with a style adapter, and the adapter lives on WaveSpeed's servers, not your disk. That's the one sentence that explains this entire node: prompt goes in, a Qwen-Image render comes out, and up to two LoRA paths steer the look - think flymy-ai/qwen-image-realism-lora for a photorealism push.

It's part of the Symbiotica pack's neuralsins/WaveSpeed family. If you're used to local LoRA loading, this takes a beat to click: there's no file browser, no .safetensors on your machine. The LoRA is a model identifier WaveSpeed resolves server-side, and lora_1_scale / lora_2_scale set how hard it pulls. The KB's LoRA doc is all about training and loading local adapters - this is the hosted variant of the same idea, same strengths dial, different location.

How it works

prompt in, output_image (IMAGE) out, via WaveSpeed's /api/v3/wavespeed-ai/qwen-image/text-to-image with LoRA params attached.

The inputs that matter:

• prompt - the image description. The tooltip's example is a full realism-style sentence.
• size - 7 presets, but note the naming differs from the plain Qwen T2I node: here it's 1:1 (Square), 16:9 (Widescreen Landscape), 4:3 (Standard Landscape), etc., rather than pixel dimensions.
• lora_1_path / lora_2_path - the style adapters, by <owner>/<repo> path. The second is optional.
• lora_1_scale / lora_2_scale - 0.0 to 2.0, default 1.0. Below 1 is subtle.
• custom_size (optional) - width*height (e.g. 1920*1080), overrides the dropdown.
• seed - -1 for random, otherwise reproducible.
• output_format - jpeg (default), png, or webp.

enable_sync_mode defaults on.

Installing

cd ComfyUI/custom_nodes
git clone https://github.com/symbiotica-ai/comfyui-nodes.git symbiotica
pip install -r symbiotica/requirements.txt

Restart or install via ComfyUI Manager (search Symbiotica), then feed an NS WaveSpeed Client with your WAVESPEED_API_KEY into client.

Common issues

• No local LoRAs, no browser. If your lora_1_path doesn't name something WaveSpeed has, the call errors at the API - there's no autocomplete to catch a typo.
• Empty paths = no LoRA. Leave both blank and the node behaves like a plain Qwen text-to-image generator.
• Two LoRAs fighting. Both at 1.0 can wash the result. Start the second at 0.4–0.6.
• custom_size overrides the size dropdown. Both set? Custom wins.
• Reproducibility needs a real seed. -1 is "surprise me" by design.

The honest take: this is the node to grab when you want Qwen-Image's base quality plus a consistent style without hosting a single weight. It's the cheapest way to A/B two style adapters on the same prompt - just remember the adapters aren't yours to keep.