flux2-klein-prompting

Solid

Expert prompt engineering for FLUX.2 [klein] image generation and editing model. Use this skill whenever the user wants to create prompts for FLUX.2 [klein], generate images, edit photos with the klein model, work with multi-reference image editing, or needs templates for T2I/I2I tasks. Trigger for any mention of: FLUX.2, flux klein, BFL API, image editing prompts, text-to-image prompts for FLUX, product mockups, poster generation, UI mockups, sticker packs, character design, seamless textures, or any request to write/improve/translate prompts for FLUX-family models. Also trigger when user asks about guidance_scale, inference steps, distilled vs base modes, or multi-reference workflows. Do NOT use for training a FLUX.2 Klein / Qwen-Edit LoRA (use flux2-lora-training), nor for reconstructing a prompt FROM an existing source image (use forensic-prompt-compiler); this skill is for authoring generation/edit prompts only.

AI & Automation 138 stars 20 forks Updated 1 months ago MIT

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Quality Score: 86/100

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Frontmatter 20%
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Documentation 15%
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Issue Health 10%
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License 10%
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Description 5%
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Skill Content

# FLUX.2 [klein] — Prompt Engineering Guide ## Core principle: prose, not tags Official BFL prompting guide requires **connected prose**, not keyword lists. Write: who/what is in the image, where, in what style, materials/light/camera, and — for editing — what must remain unchanged. --- ## Model variants quick reference | Axis | Options | Notes | |---|---|---| | Size | 4B / 9B | 9B better for complex instructions; 4B fastest | | Mode | Distilled / Base | Distilled = 4 steps, CFG≈1.0; Base = 50 steps, CFG≈4.0 | | License | 4B Apache-2.0 / 9B Non-Commercial | Check before commercial use | | Task | T2I / Edit (I2I) / Multi-reference | Edit requires `input_image`; up to 4 ref images via API | **9B uses Qwen3 8B text embedder** → solid multilingual support (Russian works natively). --- ## Prompt structure ### T2I (text-to-image) 1. **Subject** — who/what, key attributes 2. **Scene/context** — where, time of day, surroundings 3. **Composition** — framing, angle, background 4. **Light/materials** — source, softness, reflections, texture 5. **Style/genre** — photorealism, illustration, catalog, poster, UI 6. **Text in image** (if needed) — exact string in quotes + position/font ### Edit (I2I, no mask) 1. **Base anchor** — "This exact image but…" 2. **What to change** — object / background / text / color / material 3. **What to preserve** — face, lighting, style, perspective, brand elements 4. **Multi-reference** — reference by "image 2 / image 3", keep prompt concise --- ...

Details

Author
AnastasiyaW
Repository
AnastasiyaW/claude-code-config
Created
5 months ago
Last Updated
1 months ago
Language
Python
License
MIT

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