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主要生成衍纸艺术风格的纸作品，辅助设计。提示词中根据需要可只更改后面内容 spring,1 beautiful girl（中文译文：春天，1个漂亮女孩），前面提示词可不修改。变换大模型得到不同风格的纸艺作品。

Flux Kontext Fast + Upscale Workflow Status: Work in Progress - Still refining output quality This workflow combines the power of FLUX.1 Kontext with the Alimama Turbo LoRA to achieve fast, high-quality image generation and upscaling in just 8 steps. Key Features Fast Generation: Utilizes the alimama-creative/FLUX.1-Turbo-Alpha LoRA for rapid image generation with only 8 inference steps Context-Aware Editing: Leverages FLUX.1 Kontext capabilities for intelligent image editing and manipulation Two-Stage Process: Initial generation followed by upscaling for enhanced detail and resolution Efficient Workflow: Optimized for speed while maintaining quality output Workflow Components Stage 1: Fast Generation Model: FLUX.1 Kontext with Turbo Alpha LoRA Steps: 8 (significantly reduced from standard 20-50 steps) Guidance Scale: 2.5 (optimized for Turbo LoRA) Sampler: Euler with simple scheduler Stage 2: Upscaling Method: Ultimate SD Upscale with custom sampling Upscale Model: 4x-ClearRealityV1 Tile Processing: Intelligent slicing for memory efficiency Denoising: 0.2 strength for detail enhancement Technical Setup Required Models FLUX.1 Kontext DEV (FP8 quantized) Alimama FLUX.1-Turbo-Alpha LoRA 4x upscale model Standard FLUX text encoders (CLIP-L + T5) Memory Optimization FP8 model quantization for reduced VRAM usage Tile-based upscaling to handle large images Optional caching nodes for faster iterations Prompt Guidelines The workflow works best with detailed, descriptive prompts. The Turbo LoRA has been trained on high-aesthetic images (6.3+ rating) with resolution >800px, so it excels at: Detailed scene descriptions Lighting and atmosphere specifications Style and aesthetic directions Object replacement and background changes Current Limitations ⚠️ Work in Progress: Output quality is still being refined Some inconsistencies in fine details Occasional artifacts in upscaled regions This workflow represents an efficient approach to context-aware image editing with FLUX, trading some quality for significant speed improvements. Perfect for rapid prototyping and iterative design work.

The "Outfit To Outfit" ControlNet aims to allow users to modify what a subject is wearing (No need for manual masking !) in a given image while keeping the subject, background and pose consistent. Instructions for use: 1. The workflow requires the outfitToOutfit model. The model download address is https://civitai.com/models/191tfit-controlnet-outfit2outfit This is a ControlNet model! This model aims to allow users to modify what a subject is wearing in a given image while keeping the subject, background and pose consistent. 2. Size control has been applied to the loaded image to prevent it from being too large and causing crashes. 3. The writing method of prompt words: You need to obtain more English words for clothing, and then replace the content above the yellow line in the prompt word box.

### Redux Background and Character Replacement Process### I. Workflow Process Description:1. Extract the Character: the character from the original background.2. Position the Character: Place the extracted character proportionally onto the designated masked area. Next, perform depth redrawing on the pre-composited image: 3. Load the Flux Depth Model: Access the model necessary for depth processing. 4. Extract the Depth Map: Create and consolidate the depth map of the composited image for redrawing. 5. Generate the Redrawing Prompt: Derive a prompt that will guide the redrawing process. 6. Control Facial Features: Adjust the character's facial features using Pulid. 7. Apply Redux to the Background: Integrate Redux effects on the background. 8. Apply Redux to the Character: Apply Redux effects to the character. 9. Sample and Generate Final Image: Produce the final image based on the adjustments made.### II. Usage Instructions:1. Upload Character Image: Ensure the character image is clear and complete, particularly focusing on a large facial region.2. Upload Background Image: Add the desired background in the designated area.3. Paint a Mask on the Background: Simply paint a mask up and down; the left and right areas will adjust automatically.### III. Parameter Adjustment Instructions:1. Adjust Facial Similarity: Change the weight of Pulid to modify the similarity of the character's face.2. Adjust Background Similarity: Alter the `downsampling_factor` in the Redux background area; a value of 1 represents the strongest and most similar effect, while a value of 3 indicates the weakest effect with the greatest change.3. Adjust Other Character Areas: Modify the `downsampling_factor` in the Redux character area similarly; again, a setting of 1 is the strongest and most similar, while 3 is the weakest.

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