Qwen Image Edit Upscale
Detail-loving upscale/restore pass sharpening textures and color fidelity with the Upscale LoRA.
Detail-loving upscale/restore pass sharpening textures and color fidelity with the Upscale LoRA.
Model Overview
Upscale – Detail-loving upscale/restore pass that sharpens textures and color fidelity with the Upscale LoRA.
Model Overview
A plain-language description of what the model does (e.g. "Text-to-image generator trained on modern photography").
Best At
What tasks or scenarios it shines in. (Strengths, sweet spot use cases.)
Limitations / Not Good At
Where it tends to fail or underperform (e.g. struggles with hands in images, poor with long text reasoning).
Ideal Use Cases
Concrete examples of where it fits well (blog illustration, product mockups, code autocomplete).
Input & Output Format
What the model expects and what it produces (text prompt → image, text → JSON, etc.).
Performance Notes
Speed, resource intensity, or quirks (e.g. "fast for single prompts, slower on batch jobs".)
Image
StringImage file uploaded to Cog (jpeg, png, gif, or webp).
Prompt
StringPrompt hint: `Enhance image quality, sharpen fine textures, restore natural colors` and add a quick scene description so the LoRA knows what details to recover.
Seed
NumberRandom seed. Set for reproducible generation.
-1Prompt
StringPrompt hint: `Enhance image quality, sharpen fine textures, restore natural colors` and add a quick scene description so the LoRA knows what details to recover.
Enhance image quality, sharpen fine textures, restore natural colors and contrastGo Fast
BooleanIf num_inference_steps is omitted, true runs the 8-step Lightning preset and false runs the 40-step detailed preset.
falseLora Scale
NumberStrength applied to the selected LoRA. Leave blank for the proxy default.
0Aspect Ratio
StringAspect ratio for the generated image
match_input_imageLora Weights
StringLoRA weights to apply. Leave blank to use the proxy's default adapter.
Output Format
StringFormat of the output images.
webpOutput Quality
NumberQuality when saving the output images, from 0 to 100. 100 is best quality, 0 is lowest quality. Not relevant for .png outputs.
95Num Inference Steps
NumberExplicit denoising step count (1-40). Leave blank to use the go_fast presets (fast = 8 steps, slow = 40 steps).
1True Guidance Scale
NumberTrue classifier-free guidance scale passed to the pipeline.
1Disable Safety Checker
BooleanDisable safety checker for generated images.
falseAdvanced
StringOutput
InferredOutput
Type
Node
Status
Official
Package
Nodespell AI
Category
AI / Image / QwenInput
Output