reve/edit
Transform visuals with smart region edits and multi-image blending for precise, high-fidelity results.
| Parameter | Type | Default/Range | Description |
|---|---|---|---|
| prompt | string | Default: "" | Text instruction describing the desired result. |
| image_url | image_uri (string) | Default: "" | Source image URL for editing-driven generation. |
| Parameter | Type | Default/Range | Description |
|---|---|---|---|
| negative_prompt | string | Default: "" | Terms to avoid (objects, colors, styles, artifacts). |
| seed | integer | Default: 0 | Set to control stochasticity and reproducibility. |
| guidance_scale | float | Default: 6 | Classifier-free guidance strength; higher follows prompt more strictly. |
| num_inference_steps | integer | Default: 50 | Diffusion steps; higher can improve detail at the cost of latency. |
| output_format | string (jpeg, png) | Default: jpeg | Output image encoding. |
| Parameter | Type | Default/Range | Description |
|---|---|---|---|
| enable_thinking_mode | boolean | Default: true | Enables reasoning to re-interpret complex instructions before editing. |
| enable_reflection_mode | boolean | Default: true | Post-edit review to fix unintended changes and decide completion. |
Developers can integrate Step1x Edit2 using the RunComfy API with standard HTTP requests and JSON payloads. Step1x Edit2 supports straightforward parameterization for prompts, guidance, safety, and reasoning, enabling fast adoption into existing pipelines and CI/CD.
Note: API Endpoint for Step1x Edit2
Transform visuals with smart region edits and multi-image blending for precise, high-fidelity results.
Fast, precise, iterative AI image editing model.
Create reliable, studio-grade visuals with precise color and layout control.
Advanced image-to-image tool with geometry-aware edits and consistent identity control for creative workflows.
Sharp visual clarity and fast output for layout-rich image design
Transform visuals with Seedream 4.5 for coherent, photoreal image creation and precise brand consistency.
Step1x Edit2 excels at both precise image editing and text-to-image creation, allowing users to add, remove, or restyle visual elements through natural language prompts. Its reasoning loop enhances understanding of abstract instructions, producing consistent, high-quality visual results suitable for advanced creative pipelines.
Compared with v1.0 and v1.1, Step1x Edit2 introduces reasoning and reflection modes that significantly improve prompt fidelity in both editing and text-to-image modes. The resulting images show higher realism, better lighting consistency, and improved control over edits based on user instructions.
Step1x Edit2 generally supports up to 1024×1024 output resolution per generation and accepts text prompts up to roughly 512 tokens for text-to-image or edit-based tasks. Beyond these parameters, output quality may degrade or inference may fail due to memory constraints.
Step1x Edit2 typically allows one primary reference image plus up to two auxiliary control references when using extensions such as ControlNet or IP-Adapter. This enables finer control over layout, depth, or style when blending reference-guided and text-to-image synthesis.
Step1x Edit2 offers open-source deployment, instruction-driven editing, and reasoning-assisted outputs not found in most proprietary systems. While Nano Banana Pro excels at realism and narrative imagery, Step1x Edit2 provides interpretable and reproducible results, particularly for precise text-to-image corrections and localized edits.
To transition Step1x Edit2 from the RunComfy Playground to production, developers should use the RunComfy API, which mirrors playground behavior. Through API keys, usd-based billing, and secure endpoints, text-to-image or edit requests can be automated and scaled while maintaining consistent model fidelity.
While Step1x Edit2 benefits from GPUs with 40–80 GB VRAM for maximum quality, it can run efficiently on smaller devices using FP8 quantization or LoRA fine-tuning. For light workloads or testing, the RunComfy Playground automatically manages hardware selection to optimize both speed and cost.
Yes. Step1x Edit2 supports LoRA-based fine-tuning, enabling developers and artists to adapt the model for domain-specific stylistic or object categories. This process enhances accuracy in text-to-image synthesis where brand or thematic consistency is critical.
Step1x Edit2 is released under the Apache-2.0 license, allowing commercial usage provided attribution and license terms are respected. However, users generating text-to-image content via external tools like RunComfy should also review their platform-specific usage and billing policies.
Benchmarks such as GEdit-Bench and KRIS-Bench show Step1x Edit2 achieving improved scores in sharpness, realism, and prompt faithfulness, particularly for complex text-to-image edits. Its reflective reasoning mechanism reduces artifact rates and enhances the precision of modified regions.
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.