🐱Qwen image edit2509 pattern extractor v3_Yanlingru😼
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🐱Qwen image edit2509 pattern extractor v3_Yanlingru😼
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Illustration

Apparel

Other

🐱Qwen image edit2509 pattern extractor v3_Yanlingru😼
🐱Qwen image edit2509 pattern extractor v3_Yanlingru😼
🐱Qwen image edit2509 pattern extractor v3_Yanlingru😼
🐱Qwen image edit2509 pattern extractor v3_Yanlingru😼

🐱Qwen image edit2509 pattern extractor v3_言灵ru😼

LORA Features :

Extracts patterns and prints on the surface of objects, visually maintaining balance, removing all fabric wrinkles, shadows, and textures. Accurately replicates 1:1 details with clear and refined edges.

Suitable for cross-border e-commerce sellers, illustrators, designers, and others.

Usage Instructions

Prompt:

Extract the surface pattern of the picture product and render it as a complete, standalone vector graphic. The final illustration must be visually balanced, with all fabric wrinkles, shadows, and textures removed. Ensure precise 1:1 detail replication and clean, refined edges.

*Output images can be based on the original image or custom image dimensions

For long-sized items like phone cases and carpets, try to use a 3:4 ratio


言灵ru

言灵ru

Illustration

Apparel

Other

Model Information

Active
Model Type:
LoRA
Basic Model:
Qwen-Edit-2509
Resource Name:
models/loras/🐱Qwen-image-edit2509图案提取器v3_言灵ru😼.safetensors
MD5:
48a54e7a170cf20053a9871d6f98c8ff

🐱Qwen image edit2509 pattern extractor v3_言灵ru😼

LORA Features :

Extracts patterns and prints on the surface of objects, visually maintaining balance, removing all fabric wrinkles, shadows, and textures. Accurately replicates 1:1 details with clear and refined edges.

Suitable for cross-border e-commerce sellers, illustrators, designers, and others.

Usage Instructions

Prompt:

Extract the surface pattern of the picture product and render it as a complete, standalone vector graphic. The final illustration must be visually balanced, with all fabric wrinkles, shadows, and textures removed. Ensure precise 1:1 detail replication and clean, refined edges.

*Output images can be based on the original image or custom image dimensions

For long-sized items like phone cases and carpets, try to use a 3:4 ratio