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2 years ago
SDXL 1.01.5xClarity 1.5x
Blending
विन्सेंट द्वारा सृजन सारांश
Hyperrealistic Portrait of Woman in Nightclub
A hyperrealistic portrait of a beautiful woman drinking wine in a nightclub, drawn with colored pencils. The symmetrical face resembles a blend of famous actresses.
सृजित Sep 17, 2024 को Ionafey द्वारा, SDXL 1.0 एआई छवि उत्पन्न मॉडल का उपयोग करके।
1 टिप्पणी
बातचीत में शामिल हों
FREEQ-AI @FreeQ
📣 Group Message 📣
Thanks for taking part in my recurring ⭕NO THEME⭕ challenge. So many awesome entries including yours! 🤩
Congrats to those that got credits, especially the Top 3! 👏🏻
I'll be liking the Top 20 ❤ after sending this message.
Another challenge will start soon in the same room, hope to see your creativity again! 👍🏻
📈 Challenge results:
My Other Challenge Rooms:
⭕Photorealism⭕
⭕Sci-Fi Challenge⭕
Please only reply to this message if you have any questions or suggestions, as this is going out to all 1995 entries! TY! 😊
2024-09-20T17:50:57.876ZReply
सृजन सेटिंग्स
- मॉडल
CKPT- शुरुआत छवि
- ऊपरी प्रॉम्प्ट
- Portrait in the style Annie Leibowitz, colored pencil on paper Stunningly beautiful, symmetrical, Face in the style of [Jennifer Aniston :Celine Dion :0.8] She is sipping wine from a tall glass, background is a ritzy night club, flickering light from candle on table, hyper realism, hyper detailed, ...
- क्रिएटिविटी
50%
मूल क्रिएशन सेटिंग्स
- प्रॉम्प्ट टेक्स्ट
- Portrait in the style Annie Leibowitz, colored pencil on paper Stunningly beautiful, symmetrical, Face in the style of [Jennifer Aniston :Celine Dion :0.8] She is sipping wine from a tall glass, background is a ritzy night club, flickering light from candle on table, hyper realism, hyper detailed, ...Weight: 1ugly, tiling, poorly drawn hands, poorly drawn feet, poorly drawn face, out of frame, extra limbs, disfigured, deformed, body out of frame, blurry, bad anatomy, blurred, watermark, grainy, signature, cut off, draftWeight: -0.8
- मॉडल
CKPT- प्रारंभिक संकल्प
Medium
- आस्पेक्ट रेश्यो
1:1
- रनटाइम
Long
- कुल प्रॉम्प्ट वजन
20%
- सुधारक वजन
80%
- सैंपलिंग विधि
K_DPMPP_2M
