flux-2-klein
Generate Images with Flux 2 Klein on RunComfy
こちらからも入手できます: doany-ai,agentspace-so
Image generation models can be difficult to prompt optimally. This skill provides Flux 2 Klein-specific patterns including step-count strategy, subject-first grammar, and model routing guidance for consistent professional results.
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「flux-2-klein」を使用しています。 A sleek wireless headphone product shot on matte white surface, soft studio lighting, 50mm lens, shallow depth of field, minimal background, professional product photography
期待される結果:
A high-quality image of modern wireless headphones displayed cleanly on a white background with soft, professional studio lighting and subtle depth-of-field effect
「flux-2-klein」を使用しています。 Same composition as reference, but change the background from outdoor park to indoor coffee shop with warm ambient lighting
期待される結果:
The original subject and composition preserved, now set inside a cozy coffee shop with warm lighting, wooden furniture visible in the background, maintaining the original framing and subject pose
「flux-2-klein」を使用しています。 A vintage botanical illustration of lavender in a copper vase, hand-drawn style, muted earth tones, textured paper background
期待される結果:
An elegant vintage-style botanical rendering of purple lavender arranged in an antique copper vase, with delicate hand-drawn linework and a textured cream paper backdrop
セキュリティ監査
低リスクAfter evaluating the 83 static findings, 81 are false positives from markdown documentation being misidentified as executable code. The remaining findings reflect legitimate documented behavior: invoking the RunComfy CLI, network calls to model-api.runcomfy.net, and filesystem access for output files. Security documentation in SKILL.md (lines 217-223) confirms shell injection prevention, token file permissions (0600), and download URL whitelisting.
中リスクの問題 (1)
低リスクの問題 (1)
リスク要因
⚙️ 外部コマンド (4)
🌐 ネットワークアクセス (3)
📁 ファイルシステムへのアクセス (1)
品質スコア
作れるもの
Rapid Product Visualization
Iterate quickly on product designs with sub-second feedback from the 4B variant. Generate multiple concept variations in seconds for client reviews.
Brand-Consistent Asset Generation
Use multi-reference alignment to maintain consistent brand aesthetics across marketing materials, social posts, and campaign visuals.
Live Art Direction Sessions
Engage in real-time creative iteration with clients, adjusting prompts and styles instantly to explore creative directions together.
これらのプロンプトを試す
Generate a [product type] on a [surface/background], with [lighting style], [camera settings], professional e-commerce ready
A [subject] [action/pose] [setting details], [style/medium], [lighting], [camera/technical specs], [quality modifiers]
Same [composition/lighting/subject] as reference, but [specific changes]. Keep [unchanged elements] exactly as in reference.
Style consistent with reference images: [describe aesthetic elements present in all refs]. Subject: [new subject description]
ベストプラクティス
- Front-load the subject in prompts: state what the subject is before describing actions or settings
- Use step counts strategically: 4-8 steps on 4B for rapid iteration, ~25 steps on 9B for final output
- Keep reference images stylistically consistent when using multi-reference workflows
回避
- Do not use conflicting adjectives like 'minimalist AND ornate' as they cancel each other out
- Do not exceed approximately 512 tokens in prompts as quality degrades without graceful truncation
- Do not request 4K resolution or ultra-wide aspect ratios beyond 16:9 as the model cannot produce them