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AI_Image_generated_test
ehdwo0427 edited this page Aug 4, 2025
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상위 문서로 이동 : AI Wiki
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| caption | OTT, desktop, white tone, one monitor, speaker, mechanical keyboard, wireless mouse, wireless charger, microphone | OTT, desktop, white tone, one monitor, speaker, mechanical keyboard, wireless mouse | OTT, laptop, white tone, one monitor, mechanical keyboard, wireless mouse, trackpad, tablet | OTT, desktop, white tone, one monitor, speaker, mechanical keyboard, wireless mouse, tablet | OTT, desktop, white tone, one monitor, mechanical keyboard, mouse |
| img_num | 76 | 79 | 84 | 101 | 111 |
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| caption | OTT, desktop, white tone, one monitor, speaker, mechanical keyboard, wireless mouse, tablet | OTT, desktop, white tone, one monitor, speaker, mechanical keyboard, wireless mouse, wireless charger | OTT, desktop, white tone, one monitor, speaker, mechanical keyboard, wireless mouse, tablet | OTT, desktop, white tone, one monitor, speaker, mechanical keyboard, wireless mouse, wireless charger, microphone | OTT, desktop, white tone, one monitor, speaker, mechanical keyboard, wireless mouse |
| img_num | 119 | 132 | 134 | 147 | 153 |
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| caption | OTT, laptop, white tone, one monitor, speaker, mechanical keyboard, wireless mouse, wireless charger, microphone | OTT, desktop, white tone, one monitor, mechanical keyboard, wireless mouse | OTT, desktop, white tone, one monitor, speaker, mechanical keyboard, wireless mouse, tablet | OTT, laptop, white tone, one monitor, keyboard, track pad, wireless charger | OTT, laptop, white tone, one monitor, mechanical keyboard, wireless mouse, tablet |
| img_num | 155 | 165 | 171 | 173 | 177 |
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| caption | OTT, desktop, white tone, one monitor, speaker, mechanical keyboard, wireless mouse | OTT, desktop, white tone, one monitor, speaker, mechanical keyboard, wireless mouse | OTT, desktop, white tone, one monitor, speaker, mechanical keyboard, wireless mouse | OTT, laptop, white tone, one monitor, speaker, mechanical keyboard | OTT, desktop, white tone, one monitor, speaker, mechanical keyboard, wireless mouse, wireless charger, tablet |
- Base Model: stabilityai/stable-diffusion-xl-base-1.0
- VAE: Original VAE
- Network Category: LoRA_LierLa
- Network dim: 32
- Network alpha: 16
- Optimizer type: Prodigy
- Learning Rate: 0.5
- Epochs: 20
- Train Batch Size: 1
- Mixed Precision: fp16
- Base Model: sd_xl_base_1.0.safetensors
- VAE: sdxl_vae.safetensors

- prompt: "OTT, white tone, one monitor, mechanical keyboard, wireless mouse, highly detailed, 4k"
- negative_prompt: "blurry, low quality, deformed, cropped, watermark, text"
- num_inference_steps: 30
- guidance_scale: 7.5
- image size: 1024 x 1024
- 이미지 생성 소요 시간: 25.28초
- 최대 VRAM 사용량: 10163.17 MB

- prompt: "OTT, laptop, white tone, one monitor, mechanical keyboard, wireless mouse, highly detailed, 4k"
- negative_prompt: "blurry, low quality, deformed, cropped, watermark, text"
- num_inference_steps: 30
- guidance_scale: 7.5
- image size: 1024 x 1024
- 이미지 생성 소요 시간: 25.43초
- 최대 VRAM 사용량: 10163.17 MB

- prompt: "OTT, laptop, white tone, one monitor, speaker, mechanical keyboard, wireless mouse, highly detailed, 4k"
- negative_prompt: "blurry, low quality, deformed, cropped, watermark, text"
- num_inference_steps: 30
- guidance_scale: 7.5
- image size: 1024 x 1024
- 이미지 생성 소요 시간: 26.39초
- 최대 VRAM 사용량: 10163.17 MB

- prompt: "OTT, white tone, one monitor, mechanical keyboard, wireless mouse, highly detailed, 4k"
- negative_prompt: "blurry, low quality, deformed, cropped, watermark, text"
- num_inference_steps: 30
- guidance_scale: 7.5
- image size: 1024 x 1024
- 이미지 생성 소요 시간: 12.55초
- 최대 VRAM 사용량: 10933.42 MB

- prompt: "OTT, laptop, white tone, one monitor, mechanical keyboard, wireless mouse, highly detailed, 4k"
- negative_prompt: "blurry, low quality, deformed, cropped, watermark, text"
- num_inference_steps: 30
- guidance_scale: 7.5
- image size: 1024 x 1024
- 이미지 생성 소요 시간: 11.70초
- 최대 VRAM 사용량: 10933.42 MB

- prompt: "OTT, laptop, white tone, one monitor, speaker, mechanical keyboard, wireless mouse, highly detailed, 4k"
- negative_prompt: "blurry, low quality, deformed, cropped, watermark, text"
- num_inference_steps: 30
- guidance_scale: 7.5
- image size: 1024 x 1024
- 이미지 생성 소요 시간: 11.74초
- 최대 VRAM 사용량: 10933.42 MB

- prompt: "OTT, white tone, one monitor, mechanical keyboard, wireless mouse, highly detailed, 4k"
- negative_prompt: "blurry, low quality, deformed, cropped, watermark, text"
- num_inference_steps: 30
- guidance_scale: 7.5
- image size: 1024 x 1024
- 이미지 생성 소요 시간: 4.93초
- 최대 VRAM 사용량: 10933.42 MB

- prompt: "OTT, laptop, white tone, one monitor, mechanical keyboard, wireless mouse, highly detailed, 4k"
- negative_prompt: "blurry, low quality, deformed, cropped, watermark, text"
- num_inference_steps: 30
- guidance_scale: 7.5
- image size: 1024 x 1024
- 이미지 생성 소요 시간: 3.80초
- 최대 VRAM 사용량: 10933.42 MB

- prompt: "OTT, laptop, white tone, one monitor, speaker, mechanical keyboard, wireless mouse, highly detailed, 4k"
- negative_prompt: "blurry, low quality, deformed, cropped, watermark, text"
- num_inference_steps: 30
- guidance_scale: 7.5
- image size: 1024 x 1024
- 이미지 생성 소요 시간: 3.83초
- 최대 VRAM 사용량: 10933.42 MB
Deepvisions | AI Engineer 2026.03 ~ 재직중
2026.05 ~ | @ Deepvisions 캠퍼스 CCTV 4대 · 자전거 OCR + 차량 공회전 다중 신호
2026.04 ~ | @ Deepvisions 포도밭 침입 탐지 (5종 multi-class · 라즈베리파이 4 실시간)
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- 드론 포도 수확량 예측 — 파이프라인 (2026-05)
- 드론 포도송이 탐지 — 학습 변천사 (2026-04)
- SAM3 vs Fine-tuned YOLO
- Grounding DINO vs YOLO Top3 비교 요약
- YOLO Baseline Top3 비교 요약
- YOLO Model Comparison Summary
- 포도 탐지를 위한 데이터 수집
- 포도 수확량 측정을 위한 Object Detection
2025.03 ~ 2025.08 | 카카오테크부트캠프 | ✅ 종료 AI 기반 데스크테리어 추천 서비스
- Name: Woody (이동재)
- Focus: Vision AI, LLM Integration, Backend Engineering
- GitHub: @ehdwo0427
- Email: ehdwo0427@naver.com
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