flux-1-kontext/pro/text-to-image
Fast, precise, iterative AI image editing model.
Strength slider creates a precise balance: keep it low to retain the original image's look, or push it high to let the LoRA style completely reimagine the subject.This workflow requires balancing three inputs: your image, your prompt, and your LoRA.
image_url. This locks the composition.loras list (e.g., an Anime style, a specific product style).- 0.4 - 0.5: Subtle style filter; the original photo is clearly visible.
- 0.6 - 0.7: Balanced transformation; structure is kept, but texture/style changes to match LoRA.
- 0.8+: Heavy restyling; purely follows the LoRA aesthetics, loosely following original shapes.
Strength slider before increasing the LoRA Scale. The model needs freedom (high strength) to apply the new style.Strength (0.8+) combined with high LoRA Scale (1.0+) can cause artifacts. If transforming heavily, consider lowering the LoRA scale slightly.enable_prompt_expansion if you want the model to hallucinate more details fitting the LoRA style without writing a long prompt.Fast, precise, iterative AI image editing model.
Blend and refine visuals with advanced image editing, depth control, and multilingual design precision.
Edit and blend images with prompts using Google Nano Banana.
Create cohesive story visuals with sequenced, style-stable image generation.
Edit detailed visuals fast with layout-aware, multi-reference control for brand-ready results.
Seamlessly craft, edit, and fuse images for storytelling, branding, and beyond
Z Image Turbo Image to Image Lora is a version of Alibaba’s Z-Image Turbo model, designed for ultra-fast text-to-image and image-to-image generation. It allows creators to transform or refine existing images with custom LoRA adapters, making it a powerful tool for visual storytelling and brand identity development.
Z Image Turbo Image to Image Lora supports image-to-image generation by taking an input image and reinterpreting it under new styles or aesthetics defined by LoRA adapters. This enables users to remix artworks or tweak visuals while preserving the original structure and key details.
Access to Z Image Turbo Image to Image Lora requires account login on the Runcomfy AI playground and consumes credits per generation. New users receive trial credits to try out text-to-image and image-to-image functionalities before committing to paid usage.
Z Image Turbo Image to Image Lora offers 6 billion parameters, 8-step ultra-fast sampling, bilingual text rendering, support for multiple LoRA adapters, and flexible resolution outputs. Its speed and photorealistic image-to-image generation capabilities make it ideal for real-time creative workflows.
Z Image Turbo Image to Image Lora is designed for content creators, advertisers, e-commerce designers, and developers needing fast image-to-image generation. It’s also suited for researchers exploring efficient diffusion models and artists experimenting with character or style transfer.
Unlike previous Z-Image models or typical diffusion systems, Z Image Turbo Image to Image Lora uses distillation to reduce inference steps from 20–50 to just 8, maintaining image quality while achieving sub-second generation. This balance of speed and visual fidelity enhances both text-to-image and image-to-image results.
Users can expect consistently high-quality, photorealistic images from Z Image Turbo Image to Image Lora. The model stabilizes composition and perspective even in complex text or image-to-image tasks, though stacking multiple LoRAs may slightly reduce quality due to enhanced fine-tuning layers.
Z Image Turbo Image to Image Lora is currently available through Runcomfy’s AI playground website, accessible via desktop and mobile browsers. Users log in, spend credits per generation, and can leverage bilingual and image-to-image functions directly in-browser without needing server setup.
While Z Image Turbo Image to Image Lora is highly optimized, users should note that stacking more than three LoRA adapters may degrade the output quality. Additionally, higher resolutions during image-to-image generation require more VRAM, ideally on GPUs with at least 16 GB memory.
RunComfy is the premier ComfyUI platform, offering ComfyUI online environment and services, along with ComfyUI workflows featuring stunning visuals. RunComfy also provides AI Models, enabling artists to harness the latest AI tools to create incredible art.