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Flux Kontext Fast + Upscale Workflow [WIP]

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Updated: Jun 28, 2025

toolcomfyuikontext

Type

Workflows

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Reviews

Published

Jun 28, 2025

Base Model

Flux.1 Kontext

Hash

AutoV2
ACDA5E9681
Happy Mushroom

denrakeiw

The FLUX.1 [dev] Model is licensed by Black Forest Labs. Inc. under the FLUX.1 [dev] Non-Commercial License. Copyright Black Forest Labs. Inc.

IN NO EVENT SHALL BLACK FOREST LABS, INC. BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH USE OF THIS MODEL.

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.