--- title: Military k9 artillery emoji: ๐Ÿ”ฅ colorFrom: gray colorTo: indigo sdk: gradio sdk_version: 5.35.0 app_file: app.py pinned: true license: mit --- ## ๐ŸŽ–๏ธ FLUX LoRA Military K9: Advanced Artillery System Image Generator ### Create Photorealistic Military Artillery Visualizations with AI Welcome to **FLUX LoRA Military K9**, a specialized AI image generator focused on creating highly detailed, photorealistic images of the K9 Thunder self-propelled artillery system. Built on the FLUX.1-dev model with custom LoRA weights, this tool delivers military-grade accuracy in depicting modern artillery systems for educational, historical, and creative purposes. ### What is FLUX LoRA Military K9? FLUX LoRA Military K9 is a **specialized AI image generation tool** that uses advanced diffusion models to create realistic military artillery imagery. Trained specifically on the K9 Thunder self-propelled howitzer, it generates accurate depictions of this advanced 155mm artillery system in various operational scenarios and environments. ### Key Features for Military Equipment Visualization - **๐ŸŽฏ Specialized LoRA Model**: Custom-trained on K9 Thunder artillery system - **๐Ÿ–ผ๏ธ Photorealistic Output**: High-detail military equipment rendering - **๐ŸŒ Environmental Diversity**: Desert, arctic, urban, and field deployments - **โšก FLUX.1-dev Base**: State-of-the-art diffusion model technology - **๐Ÿ’พ Persistent Gallery**: Auto-saves all generated images with metadata - **๐ŸŽฒ Seed Control**: Reproducible results for consistent imagery - **๐Ÿ“ Flexible Dimensions**: Support up to 1024x1024 resolution - **๐Ÿ”ง Advanced Controls**: Fine-tune guidance, steps, and LoRA strength ### Understanding the K9 Thunder The K9 Thunder is a South Korean self-propelled artillery system featuring: - **155mm/52-caliber gun**: Extended range precision artillery - **Advanced Fire Control**: Digital battlefield management systems - **All-Terrain Mobility**: Tracked vehicle with advanced suspension - **Automated Loading**: Rapid fire capability with minimal crew - **NBC Protection**: Sealed cabin with overpressure system - **Modern Electronics**: Thermal imaging and computerized targeting ### Use Cases and Applications - **Military Education**: Training materials and tactical planning - **Defense Analysis**: Equipment capability demonstrations - **Historical Documentation**: Modern artillery system archives - **Creative Projects**: Military-themed artwork and illustrations - **Technical Visualization**: Equipment specifications and features - **Scenario Planning**: Operational environment simulations ### Generation Examples 1. **Dawn Operations**: Artillery positioned on strategic hilltops 2. **Winter Exercises**: Cold weather operational capabilities 3. **Monsoon Deployment**: All-weather system performance 4. **Desert Configuration**: Extreme heat adaptation systems 5. **Night Missions**: Muzzle flash and thermal imaging 6. **Combined Arms**: Integration with modern battlefield systems ### Advanced Generation Parameters - **Seed**: Control randomness (0-2147483647) - **Randomize Seed**: Generate unique variations - **Width/Height**: Custom dimensions (256-1024px) - **Guidance Scale**: Prompt adherence (0.0-10.0) - **Inference Steps**: Quality vs speed (1-50) - **LoRA Scale**: Artillery detail strength (0.0-1.0) ### Technical Specifications - **Base Model**: black-forest-labs/FLUX.1-dev - **LoRA Adapter**: seawolf2357/flux-lora-military-artillery-k9 - **Framework**: Diffusers, PyTorch, Gradio - **Precision**: bfloat16 for optimal performance - **GPU**: CUDA-enabled device required - **Storage**: Automatic image persistence with metadata ### Why Choose FLUX LoRA Military K9? 1. **Unmatched Accuracy**: Specialized training on authentic military data 2. **Professional Quality**: Publication-ready military visualizations 3. **Educational Value**: Accurate depictions for learning purposes 4. **Creative Freedom**: Generate unique military scenarios 5. **Technical Precision**: Faithful equipment detail reproduction 6. **Easy to Use**: Simple prompt-based generation ### Best Practices for Military Image Generation - Include environmental context (terrain, weather, time of day) - Specify operational scenarios (training, deployment, maintenance) - Mention technical details (equipment state, crew presence) - Add atmospheric elements (weather effects, lighting conditions) - Use military terminology for authentic results - Always append [trigger] to activate the LoRA model ### Get Started with Military Visualization Create professional military artillery imagery for your projects. Whether for educational content, technical documentation, or creative endeavors, FLUX LoRA Military K9 provides the precision and quality you need. **Community**: [Discord - Openfree AI](https://discord.gg/openfreeai) | **More AI Services**: [OpenFree Best AI](https://huggingface.co/spaces/openfree/Best-AI) --- ## ๐ŸŽ–๏ธ FLUX LoRA ๊ตฐ์‚ฌ K9: ๊ณ ๊ธ‰ ํฌ๋ณ‘ ์‹œ์Šคํ…œ ์ด๋ฏธ์ง€ ์ƒ์„ฑ๊ธฐ ### AI๋กœ ์‚ฌ์‹ค์ ์ธ ๊ตฐ์‚ฌ ํฌ๋ณ‘ ์‹œ๊ฐํ™” ์ œ์ž‘ **FLUX LoRA ๊ตฐ์‚ฌ K9**์— ์˜ค์‹  ๊ฒƒ์„ ํ™˜์˜ํ•ฉ๋‹ˆ๋‹ค. K9 ์ž์ฃผํฌ ์‹œ์Šคํ…œ์˜ ๋งค์šฐ ์ƒ์„ธํ•˜๊ณ  ์‚ฌ์‹ค์ ์ธ ์ด๋ฏธ์ง€๋ฅผ ๋งŒ๋“œ๋Š” ๋ฐ ํŠนํ™”๋œ AI ์ด๋ฏธ์ง€ ์ƒ์„ฑ๊ธฐ์ž…๋‹ˆ๋‹ค. ์‚ฌ์šฉ์ž ์ •์˜ LoRA ๊ฐ€์ค‘์น˜๊ฐ€ ์ ์šฉ๋œ FLUX.1-dev ๋ชจ๋ธ์„ ๊ธฐ๋ฐ˜์œผ๋กœ ๊ตฌ์ถ•๋˜์–ด, ๊ต์œก, ์—ญ์‚ฌ ๋ฐ ์ฐฝ์ž‘ ๋ชฉ์ ์œผ๋กœ ํ˜„๋Œ€ ํฌ๋ณ‘ ์‹œ์Šคํ…œ์„ ๋ฌ˜์‚ฌํ•˜๋Š” ๋ฐ ๊ตฐ์‚ฌ๊ธ‰ ์ •ํ™•๋„๋ฅผ ์ œ๊ณตํ•ฉ๋‹ˆ๋‹ค. ### FLUX LoRA ๊ตฐ์‚ฌ K9๋ž€? FLUX LoRA ๊ตฐ์‚ฌ K9๋Š” ๊ณ ๊ธ‰ ํ™•์‚ฐ ๋ชจ๋ธ์„ ์‚ฌ์šฉํ•˜์—ฌ ์‚ฌ์‹ค์ ์ธ ๊ตฐ์‚ฌ ํฌ๋ณ‘ ์ด๋ฏธ์ง€๋ฅผ ๋งŒ๋“œ๋Š” **ํŠนํ™”๋œ AI ์ด๋ฏธ์ง€ ์ƒ์„ฑ ๋„๊ตฌ**์ž…๋‹ˆ๋‹ค. K9 ์ž์ฃผํฌ์— ํŠน๋ณ„ํžˆ ํ›ˆ๋ จ๋˜์–ด ๋‹ค์–‘ํ•œ ์ž‘์ „ ์‹œ๋‚˜๋ฆฌ์˜ค์™€ ํ™˜๊ฒฝ์—์„œ ์ด ๊ณ ๊ธ‰ 155mm ํฌ๋ณ‘ ์‹œ์Šคํ…œ์˜ ์ •ํ™•ํ•œ ๋ฌ˜์‚ฌ๋ฅผ ์ƒ์„ฑํ•ฉ๋‹ˆ๋‹ค. ### ๊ตฐ์‚ฌ ์žฅ๋น„ ์‹œ๊ฐํ™”๋ฅผ ์œ„ํ•œ ์ฃผ์š” ๊ธฐ๋Šฅ - **๐ŸŽฏ ํŠนํ™”๋œ LoRA ๋ชจ๋ธ**: K9 ์ž์ฃผํฌ ์‹œ์Šคํ…œ์— ๋งž์ถค ํ›ˆ๋ จ - **๐Ÿ–ผ๏ธ ์‚ฌ์‹ค์ ์ธ ์ถœ๋ ฅ**: ๊ณ ์„ธ๋ถ€ ๊ตฐ์‚ฌ ์žฅ๋น„ ๋ Œ๋”๋ง - **๐ŸŒ ํ™˜๊ฒฝ ๋‹ค์–‘์„ฑ**: ์‚ฌ๋ง‰, ๊ทน์ง€, ๋„์‹œ ๋ฐ ์•ผ์ „ ๋ฐฐ์น˜ - **โšก FLUX.1-dev ๊ธฐ๋ฐ˜**: ์ตœ์ฒจ๋‹จ ํ™•์‚ฐ ๋ชจ๋ธ ๊ธฐ์ˆ  - **๐Ÿ’พ ์˜๊ตฌ ๊ฐค๋Ÿฌ๋ฆฌ**: ๋ฉ”ํƒ€๋ฐ์ดํ„ฐ์™€ ํ•จ๊ป˜ ์ƒ์„ฑ๋œ ๋ชจ๋“  ์ด๋ฏธ์ง€ ์ž๋™ ์ €์žฅ - **๐ŸŽฒ ์‹œ๋“œ ์ œ์–ด**: ์ผ๊ด€๋œ ์ด๋ฏธ์ง€๋ฅผ ์œ„ํ•œ ์žฌํ˜„ ๊ฐ€๋Šฅํ•œ ๊ฒฐ๊ณผ - **๐Ÿ“ ์œ ์—ฐํ•œ ์น˜์ˆ˜**: ์ตœ๋Œ€ 1024x1024 ํ•ด์ƒ๋„ ์ง€์› - **๐Ÿ”ง ๊ณ ๊ธ‰ ์ œ์–ด**: ๊ฐ€์ด๋˜์Šค, ๋‹จ๊ณ„ ๋ฐ LoRA ๊ฐ•๋„ ๋ฏธ์„ธ ์กฐ์ • ### K9 ์ž์ฃผํฌ ์ดํ•ดํ•˜๊ธฐ K9 ์ž์ฃผํฌ๋Š” ๋‹ค์Œ์„ ํŠน์ง•์œผ๋กœ ํ•˜๋Š” ํ•œ๊ตญ์˜ ์ž์ฃผํฌ ์‹œ์Šคํ…œ์ž…๋‹ˆ๋‹ค: - **155mm/52๊ตฌ๊ฒฝ ์ฃผํฌ**: ํ™•์žฅ ์‚ฌ๊ฑฐ๋ฆฌ ์ •๋ฐ€ ํฌ๋ณ‘ - **๊ณ ๊ธ‰ ์‚ฌ๊ฒฉ ํ†ต์ œ**: ๋””์ง€ํ„ธ ์ „์žฅ ๊ด€๋ฆฌ ์‹œ์Šคํ…œ - **์ „์ง€ํ˜• ๊ธฐ๋™์„ฑ**: ๊ณ ๊ธ‰ ์„œ์ŠคํŽœ์…˜์ด ์žฅ์ฐฉ๋œ ๊ถค๋„ ์ฐจ๋Ÿ‰ - **์ž๋™ ์žฅ์ „**: ์ตœ์†Œ ์Šน๋ฌด์›์œผ๋กœ ์‹ ์† ์‚ฌ๊ฒฉ ๋Šฅ๋ ฅ - **NBC ๋ณดํ˜ธ**: ๊ณผ์•• ์‹œ์Šคํ…œ์ด ์žˆ๋Š” ๋ฐ€ํ ์บ๋นˆ - **ํ˜„๋Œ€์‹ ์ „์ž์žฅ๋น„**: ์—ดํ™”์ƒ ๋ฐ ์ปดํ“จํ„ฐํ™”๋œ ํ‘œ์  ์ง€์ • ### ์‚ฌ์šฉ ์‚ฌ๋ก€ ๋ฐ ์‘์šฉ ๋ถ„์•ผ - **๊ตฐ์‚ฌ ๊ต์œก**: ํ›ˆ๋ จ ์ž๋ฃŒ ๋ฐ ์ „์ˆ  ๊ณ„ํš - **๊ตญ๋ฐฉ ๋ถ„์„**: ์žฅ๋น„ ๋Šฅ๋ ฅ ์‹œ์—ฐ - **์—ญ์‚ฌ ๋ฌธ์„œํ™”**: ํ˜„๋Œ€ ํฌ๋ณ‘ ์‹œ์Šคํ…œ ์•„์นด์ด๋ธŒ - **์ฐฝ์ž‘ ํ”„๋กœ์ ํŠธ**: ๊ตฐ์‚ฌ ํ…Œ๋งˆ ์˜ˆ์ˆ ์ž‘ํ’ˆ ๋ฐ ์ผ๋Ÿฌ์ŠคํŠธ๋ ˆ์ด์…˜ - **๊ธฐ์ˆ  ์‹œ๊ฐํ™”**: ์žฅ๋น„ ์‚ฌ์–‘ ๋ฐ ๊ธฐ๋Šฅ - **์‹œ๋‚˜๋ฆฌ์˜ค ๊ณ„ํš**: ์ž‘์ „ ํ™˜๊ฒฝ ์‹œ๋ฎฌ๋ ˆ์ด์…˜ ### ์ƒ์„ฑ ์˜ˆ์‹œ 1. **์ƒˆ๋ฒฝ ์ž‘์ „**: ์ „๋žต์  ์–ธ๋•์— ์œ„์น˜ํ•œ ํฌ๋ณ‘ 2. **๊ฒจ์šธ ํ›ˆ๋ จ**: ํ˜นํ•œ๊ธฐ ์ž‘์ „ ๋Šฅ๋ ฅ 3. **๋ชฌ์ˆœ ๋ฐฐ์น˜**: ์ „์ฒœํ›„ ์‹œ์Šคํ…œ ์„ฑ๋Šฅ 4. **์‚ฌ๋ง‰ ๊ตฌ์„ฑ**: ๊ทนํ•œ ๊ณ ์˜จ ์ ์‘ ์‹œ์Šคํ…œ 5. **์•ผ๊ฐ„ ์ž„๋ฌด**: ํฌ๊ตฌ ํ™”์—ผ๊ณผ ์—ดํ™”์ƒ 6. **ํ†ตํ•ฉ ์ž‘์ „**: ํ˜„๋Œ€ ์ „์žฅ ์‹œ์Šคํ…œ๊ณผ์˜ ํ†ตํ•ฉ ### ๊ณ ๊ธ‰ ์ƒ์„ฑ ๋งค๊ฐœ๋ณ€์ˆ˜ - **์‹œ๋“œ**: ๋ฌด์ž‘์œ„์„ฑ ์ œ์–ด (0-2147483647) - **๋ฌด์ž‘์œ„ ์‹œ๋“œ**: ๊ณ ์œ ํ•œ ๋ณ€ํ˜• ์ƒ์„ฑ - **๋„ˆ๋น„/๋†’์ด**: ์‚ฌ์šฉ์ž ์ •์˜ ์น˜์ˆ˜ (256-1024px) - **๊ฐ€์ด๋˜์Šค ์Šค์ผ€์ผ**: ํ”„๋กฌํ”„ํŠธ ์ค€์ˆ˜ (0.0-10.0) - **์ถ”๋ก  ๋‹จ๊ณ„**: ํ’ˆ์งˆ ๋Œ€ ์†๋„ (1-50) - **LoRA ์Šค์ผ€์ผ**: ํฌ๋ณ‘ ์„ธ๋ถ€ ๊ฐ•๋„ (0.0-1.0) ### ๊ธฐ์ˆ  ์‚ฌ์–‘ - **๊ธฐ๋ณธ ๋ชจ๋ธ**: black-forest-labs/FLUX.1-dev - **LoRA ์–ด๋Œ‘ํ„ฐ**: seawolf2357/flux-lora-military-artillery-k9 - **ํ”„๋ ˆ์ž„์›Œํฌ**: Diffusers, PyTorch, Gradio - **์ •๋ฐ€๋„**: ์ตœ์  ์„ฑ๋Šฅ์„ ์œ„ํ•œ bfloat16 - **GPU**: CUDA ์ง€์› ์žฅ์น˜ ํ•„์š” - **์ €์žฅ์†Œ**: ๋ฉ”ํƒ€๋ฐ์ดํ„ฐ๊ฐ€ ์žˆ๋Š” ์ž๋™ ์ด๋ฏธ์ง€ ์˜์†์„ฑ ### FLUX LoRA ๊ตฐ์‚ฌ K9๋ฅผ ์„ ํƒํ•ด์•ผ ํ•˜๋Š” ์ด์œ  1. **๋น„๊ตํ•  ์ˆ˜ ์—†๋Š” ์ •ํ™•๋„**: ์‹ค์ œ ๊ตฐ์‚ฌ ๋ฐ์ดํ„ฐ์— ๋Œ€ํ•œ ํŠนํ™” ํ›ˆ๋ จ 2. **์ „๋ฌธ๊ฐ€ ํ’ˆ์งˆ**: ์ถœํŒ ์ค€๋น„๊ฐ€ ๋œ ๊ตฐ์‚ฌ ์‹œ๊ฐํ™” 3. **๊ต์œก์  ๊ฐ€์น˜**: ํ•™์Šต ๋ชฉ์ ์„ ์œ„ํ•œ ์ •ํ™•ํ•œ ๋ฌ˜์‚ฌ 4. **์ฐฝ์ž‘์˜ ์ž์œ **: ๋…ํŠนํ•œ ๊ตฐ์‚ฌ ์‹œ๋‚˜๋ฆฌ์˜ค ์ƒ์„ฑ 5. **๊ธฐ์ˆ ์  ์ •๋ฐ€๋„**: ์ถฉ์‹คํ•œ ์žฅ๋น„ ์„ธ๋ถ€ ์žฌํ˜„ 6. **์‚ฌ์šฉํ•˜๊ธฐ ์‰ฌ์›€**: ๊ฐ„๋‹จํ•œ ํ”„๋กฌํ”„ํŠธ ๊ธฐ๋ฐ˜ ์ƒ์„ฑ ### ๊ตฐ์‚ฌ ์ด๋ฏธ์ง€ ์ƒ์„ฑ ๋ชจ๋ฒ” ์‚ฌ๋ก€ - ํ™˜๊ฒฝ ์ปจํ…์ŠคํŠธ ํฌํ•จ (์ง€ํ˜•, ๋‚ ์”จ, ํ•˜๋ฃจ ์ค‘ ์‹œ๊ฐ„) - ์ž‘์ „ ์‹œ๋‚˜๋ฆฌ์˜ค ์ง€์ • (ํ›ˆ๋ จ, ๋ฐฐ์น˜, ์œ ์ง€๋ณด์ˆ˜) - ๊ธฐ์ˆ ์  ์„ธ๋ถ€์‚ฌํ•ญ ์–ธ๊ธ‰ (์žฅ๋น„ ์ƒํƒœ, ์Šน๋ฌด์› ์กด์žฌ) - ๋Œ€๊ธฐ ์š”์†Œ ์ถ”๊ฐ€ (๋‚ ์”จ ํšจ๊ณผ, ์กฐ๋ช… ์กฐ๊ฑด) - ์ง„์ •ํ•œ ๊ฒฐ๊ณผ๋ฅผ ์œ„ํ•ด ๊ตฐ์‚ฌ ์šฉ์–ด ์‚ฌ์šฉ - LoRA ๋ชจ๋ธ์„ ํ™œ์„ฑํ™”ํ•˜๋ ค๋ฉด ํ•ญ์ƒ [trigger] ์ถ”๊ฐ€ ### ๊ตฐ์‚ฌ ์‹œ๊ฐํ™” ์‹œ์ž‘ํ•˜๊ธฐ ํ”„๋กœ์ ํŠธ๋ฅผ ์œ„ํ•œ ์ „๋ฌธ ๊ตฐ์‚ฌ ํฌ๋ณ‘ ์ด๋ฏธ์ง€๋ฅผ ๋งŒ๋“œ์„ธ์š”. ๊ต์œก ์ฝ˜ํ…์ธ , ๊ธฐ์ˆ  ๋ฌธ์„œ ๋˜๋Š” ์ฐฝ์ž‘ ํ™œ๋™์„ ์œ„ํ•ด FLUX LoRA ๊ตฐ์‚ฌ K9๋Š” ํ•„์š”ํ•œ ์ •๋ฐ€๋„์™€ ํ’ˆ์งˆ์„ ์ œ๊ณตํ•ฉ๋‹ˆ๋‹ค. **์ปค๋ฎค๋‹ˆํ‹ฐ**: [Discord - Openfree AI](https://discord.gg/openfreeai) | **๋” ๋งŽ์€ AI ์„œ๋น„์Šค**: [OpenFree Best AI](https://huggingface.co/spaces/openfree/Best-AI)