Flux Kontext Fast + Upscale Workflow [WIP]
5.0
0 reviewsDescription
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.
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Versions (1)
- latest (4 months ago)
Node Details
Primitive Nodes (16)
EmptySD3LatentImage (1)
FL_SDUltimate_Slices (1)
FluxEmptyLatentSizePicker (1)
FluxGuidance (1)
Image Comparer (rgthree) (1)
LoadImageOutput (2)
LyingSigmaSampler (1)
MagCache (1)
ModelSamplingFlux (1)
MultiplySigmas (1)
Note (1)
ReferenceLatent (2)
TeaCache (1)
UltimateSDUpscaleCustomSample (1)
Custom Nodes (23)
- CM_NearestSDXLResolution (1)
ComfyUI
- DualCLIPLoader (1)
- VAELoader (1)
- CFGGuider (1)
- RandomNoise (1)
- VAEDecode (1)
- UpscaleModelLoader (1)
- KSamplerSelect (1)
- VAEEncode (2)
- ConditioningZeroOut (1)
- ImageScale (2)
- SaveImage (2)
- LoraLoaderModelOnly (2)
- BasicScheduler (2)
- SamplerCustomAdvanced (1)
- UNETLoader (1)
- CLIPTextEncode (1)
- GlobalSeed //Inspire (1)
Model Details
Checkpoints (0)
LoRAs (2)
flux\Flux_Skin_Detailer.safetensors
flux\alimama-creativeFLUX1-Turbo-Alpha.safetensors