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.
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
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
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
FLUX.1 Kontext DEV (FP8 quantized)
Alimama FLUX.1-Turbo-Alpha LoRA
4x upscale model
Standard FLUX text encoders (CLIP-L + T5)
FP8 model quantization for reduced VRAM usage
Tile-based upscaling to handle large images
Optional caching nodes for faster iterations
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
⚠️ 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.
WIP
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