How to get the best out of Flux SRPO Image to Image
Flux SRPO Image to Image on Pixio transforms an existing image with a text prompt using Flux SRPO: strong prompt following for image-to-image. Use it when you have a source image and want guided transformation with Flux quality and high adherence to the prompt.
Flux SRPO Image to Image
Flux SRPO Image to Image on Pixio transforms an existing image with a text prompt using Flux SRPO: strong prompt following for image-to-image. Use it when you have a source image and want guided transformation with Flux quality and high adherence to the prompt.
Use this when
- You have a source image and want prompt-driven transformation (style, content, or mood) with Flux SRPO quality and strong prompt following.
- You need image-to-image (e.g. sketch to render, day to night) with accurate interpretation of the prompt.
- You prefer Flux for img2img and want SRPO-level prompt adherence in the transformation.
- You are iterating on an existing asset with clear verbal instructions.
- You want reliable transformation with good structure preservation when strength is tuned.
Modes in Pixio
| Mode | Input | Best for |
|---|---|---|
| Image to Image | Source image + prompt | Style, content, or mood transformation with Flux SRPO prompt adherence |
Options
| Option | Values | Notes |
|---|---|---|
| Strength / denoising | Low–High (check Pixio) | Lower = closer to source; higher = more change |
| Aspect ratio | Match input or override (check Pixio) | Preserve or change crop |
| Credits | Plan-based | Check model card in Pixio |
Credits
Credits are plan-based; check the model card in Pixio for your plan and cost per image.
Prompt structure
[What to change or add] + [Style/mood] + [Lighting]. Describe the desired result in detail; SRPO follows the prompt closely. The input defines the start; the prompt drives the transformation.
Example prompts
"Transform this scene into a rainy night with neon signs and wet pavement. Cinematic, moody lighting, reflections. Keep the same composition and main subjects."