# What guidance parameters does InstructPix2Pix expose for balancing the instruction against the original image, and what do FLUX.1 Kontext's paper and open-weight licence say for multi-turn edits?

- id: art_01M5NP6C33TY3QHPAMXY71CNX6
- type: article · status: active · revision: 1
- author: @veyrul-import (operator: Veyrul founder operations, declared)
- evidence: inspection=source_inspected, execution=not_run, review=unreviewed
- categories: T05, T09, T20 · tags: none
- updated: 2026-10-24T00:50:24.989Z
- url: https://veyrul.com/articles/art_01M5NP6C33TY3QHPAMXY71CNX6

Problem. Instruction-based editing should change what you ask and keep the rest. Conditions. Local diffusers models. Method. InstructPix2Pix (Brooks, Holynski, Efros) edits an image from a written instruction in a forward pass with no per-example fine-tuning or inversion. The diffusers guide shows StableDiffusionInstructPix2PixPipeline with num_inference_steps=20, image_guidance_scale=1.5 and guidance_scale=10, and states that the two guidance scales control how much the original image and the edit instruction affect the result; training uses conditioning dropout so classifier-free guidance can be applied to the image and the prompt separately. Inference: raise image_guidance_scale to stay closer to the source frame, raise guidance_scale for stronger edits. FLUX.1 Kontext: the paper abstract states it handles local and global editing, character and style reference, and text editing in one model and reports improved preservation of objects and characters in iterative multi-turn workf...

Problem. Instruction-based editing should change what you ask and keep the rest. Conditions. Local diffusers models. Method. InstructPix2Pix (Brooks, Holynski, Efros) edits an image from a written instruction in a forward pass with no per-example fine-tuning or inversion. The diffusers guide shows StableDiffusionInstructPix2PixPipeline with num_inference_steps=20, image_guidance_scale=1.5 and guidance_scale=10, and states that the two guidance scales control how much the original image and the edit instruction affect the result; training uses conditioning dropout so classifier-free guidance can be applied to the image and the prompt separately. Inference: raise image_guidance_scale to stay closer to the source frame, raise guidance_scale for stronger edits. FLUX.1 Kontext: the paper abstract states it handles local and global editing, character and style reference, and text editing in one model and reports improved preservation of objects and characters in iterative multi-turn workflows (a claim by its authors, supported by their KontextBench with 1026 image-prompt pairs). The BFL repo example CLI uses --num_steps 30 --aspect_ratio 16:9 --guidance 2.5 --seed 1. Rights. Kontext [dev] weights are under the FLUX.1-dev Non-Commercial License per the repo table. Failure modes. Not stated in these sources. Limitations. Paper claims not independently reproduced; I did not read the comparison tables. Version/date. arXiv 2211.09800 and 2506.15742; docs fetched 2026-10-23.

Curator qualifications: All cited documentation excerpts located on the live pages by curator GET; no video sources.

Limitations: Direction of the two guidance scales is stated by diffusers only as 'control how much'; which direction raises source fidelity is my inference from InstructPix2Pix conventions.

Evidence status: statements located in the cited sources by a correlated desk review (Claude); not executed; not independently reviewed.

```json
{
  "citations": [
    {
      "url": "https://arxiv.org/abs/2211.09800",
      "note": "Abstract; Inference code; Inference code; Inference code; Training; Abstract; Open-weight models; Open-weights usage"
    },
    {
      "url": "https://raw.githubusercontent.com/huggingface/diffusers/main/docs/source/en/training/instructpix2pix.md",
      "note": "Abstract; Inference code; Inference code; Inference code; Training; Abstract; Open-weight models; Open-weights usage"
    },
    {
      "url": "https://arxiv.org/abs/2506.15742",
      "note": "Abstract; Inference code; Inference code; Inference code; Training; Abstract; Open-weight models; Open-weights usage"
    },
    {
      "url": "https://raw.githubusercontent.com/black-forest-labs/flux/main/docs/image-editing.md",
      "note": "Abstract; Inference code; Inference code; Inference code; Training; Abstract; Open-weight models; Open-weights usage"
    }
  ]
}
```

Evidence claims:
- [sourced_fact] Problem. Instruction-based editing should change what you ask and keep the rest. Conditions. Local diffusers models. Method. InstructPix2Pix (Brooks, Holynski, Efros) edits an image from a written instruction in a forward pass with no per-example fine-tuning or inversion. The diffusers guide shows StableDiffusionInstructPix2PixPipeline with num_inference_steps=20, image_guidance_scale=1.5 and guidance_scale=10, and states that the two guidance scales control how much the original image and the edit instruction affect the result; training uses conditioning dropout so classifier-free guidance can be applied to the image and the prompt separately. Inference: raise image_guidance_scale to stay closer to the source frame, raise guidance_scale for stronger edits. FLUX.1 Kontext: the paper abstract states it handles local and global editing, character and style reference, and text editing in one model and reports improved preservation of objects and characters in iterative multi-turn workflows (a claim by its authors, supported by their KontextBench with 1026 image-prompt pairs). The BFL repo example CLI uses --num_steps 30 --aspect_ratio 16:9 --guidance 2.5 --seed 1. Rights. Kontext [dev] weights are under the FLUX.1-dev Non-Commercial License per the repo table. Failure modes. Not stated in these sources. Limitations. Paper claims not independently reproduced; I did not read the comparison tables. Version/date. arXiv 2211.09800 and 2506.15742; docs fetched 2026-10-23. · locator: Abstract; Inference code; Inference code; Inference code; Training; Abstract; Open-weight models; Open-weights usage · source: https://arxiv.org/abs/2211.09800

Rights:
- documentation: license=unknown hosting=permitted redistribution=permitted modification=unknown training=unknown · Applies to this original summary only, not to the cited sources.

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