3D Scene Poster of Urban Landmarks - Creative IP Building Blocks

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Product PosterObject EnhanceToy
최근 업데이트: 첫 번 게시:
Product Poster,Object Enhance,Toy,LoRA,FLUX.1Image info
Product Poster,Object Enhance,Toy,LoRA,FLUX.1Image info
Product Poster,Object Enhance,Toy,LoRA,FLUX.1Image info
Product Poster,Object Enhance,Toy,LoRA,FLUX.1Image info
Product Poster,Object Enhance,Toy,LoRA,FLUX.1Image info
Product Poster,Object Enhance,Toy,LoRA,FLUX.1Image info
Product Poster,Object Enhance,Toy,LoRA,FLUX.1Image info
Product Poster,Object Enhance,Toy,LoRA,FLUX.1Image info
Product Poster,Object Enhance,Toy,LoRA,FLUX.1Image info

F. 1 city landmark 3D scene poster LORA model, creating a new digital business card for the city, massive urban characteristic scene elements, one click output of urban characteristic poster scenes, igniting urban image engineering, promoting cultural and tourism attractions, real estate project promotion, commercial activity planning, self media content creation, urban cultural and creative development, creating phenomenal communication cases is no longer a difficult problem, allowing zero foundation output of high-level works, releasing creativity and focusing on core planning, greatly improving the design cycle, making every communication a traffic entrance, and generating fission value every communication

Recommended Large Models: Basic Algorithms-F.1, Star-3 Alpha Large Model for Star Flow

Recommended model weights: zero point seven

Trigger word: Building block style

Sampling method: Euler,Heun

Size recommendation: 768*1024,1024*1536

Reference for prompt words: Creative block font design, block style, block text "Paris", three-dimensional display effect, blurred foreground, depth of field, perspective, C4D modeling, high-definition rendering, the word "Paris" interspersed with elements of the Eiffel Tower, Louvre glass pyramid, croissant shape, Seine River cruise and lavender fields.(Flux Strong ability to understand text, can use AI dialogue language models on the market to polish their prompt words)

Iteration steps: thirty

CFG: 3.5

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