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Running
on
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Running
on
Zero
A newer version of the Gradio SDK is available:
6.3.0
metadata
title: QIE-Image2GuideBody
emoji: 🎨✨
colorFrom: blue
colorTo: purple
sdk: gradio
sdk_version: 6.2.0
app_file: app.py
pinned: false
license: apache-2.0
short_description: Anime character to guide body converter
🎨✨ QIE-Image2GuideBody
A single-pass image converter that applies multiple LoRAs simultaneously to transform anime character images.
Overview
This application performs conversion in a single inference pass by combining multiple LoRA models:
Combined LoRAs:
- Lightning LoRA: Enables fast 4-step inference
- Stage1 LoRA: Custom transformation effect 1
- Stage2 LoRA: Custom transformation effect 2
All three LoRAs are applied simultaneously with equal weights (1.0, 1.0, 1.0) to produce the final result.
Technology
Built on Qwen-Image-Edit-2511 with:
- Multiple LoRA combination support
- Qwen-Image-Lightning-2511 for fast 4-step inference
- Custom LoRA models applied simultaneously
Configuration
The application uses environment variables for customization:
Model Settings
BASE_MODEL: Base model repository (default:Qwen/Qwen-Image-Edit-2511)
LoRA Settings
LIGHTNING_LORA_REPO: Lightning 4-step LoRA repository (default:lightx2v/Qwen-Image-Edit-2511-Lightning)LIGHTNING_LORA_WEIGHT: Lightning LoRA weight filename (default:Qwen-Image-Edit-2511-Lightning-4steps-V1.0-bf16.safetensors)STAGE1_LORA_REPO: Repository for Stage 1 LoRASTAGE1_LORA_WEIGHT: Weight filename for Stage 1 LoRASTAGE1_WEIGHT_DEFAULT: Default weight value for Stage 1 LoRA (default:1.0)STAGE2_LORA_REPO: Repository for Stage 2 LoRASTAGE2_LORA_WEIGHT: Weight filename for Stage 2 LoRASTAGE2_WEIGHT_DEFAULT: Default weight value for Stage 2 LoRA (default:1.0)
Prompt Settings
STAGE1_PROMPT: Prompt used for inference (default: "Convert anime character to base body structure")STAGE2_PROMPT: Not used in current implementation (reserved for future use)
Usage
- Upload an anime character image
- Click "Generate"
- View the result with all LoRAs applied simultaneously
Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference