MMK product scene photography

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RealisticProduct PosterObject EnhanceProduct
최근 업데이트: 첫 번 게시:
Realistic,Product Poster,Object Enhance,LoRA,SD 1.5Image info
Realistic,Product Poster,Object Enhance,LoRA,SD 1.5Image info
Realistic,Product Poster,Object Enhance,LoRA,SD 1.5Image info
Realistic,Product Poster,Object Enhance,LoRA,SD 1.5Image info
Realistic,Product Poster,Object Enhance,LoRA,SD 1.5Image info
Realistic,Product Poster,Object Enhance,LoRA,SD 1.5Image info
Realistic,Product Poster,Object Enhance,LoRA,SD 1.5Image info
Realistic,Product Poster,Object Enhance,LoRA,SD 1.5Image info
Realistic,Product Poster,Object Enhance,LoRA,SD 1.5Image info
Realistic,Product Poster,Object Enhance,LoRA,SD 1.5Image info
Realistic,Product Poster,Object Enhance,LoRA,SD 1.5Image info
Realistic,Product Poster,Object Enhance,LoRA,SD 1.5Image info
Realistic,Product Poster,Object Enhance,LoRA,SD 1.5Image info

Model Introduction:

                   Hello everyone, I'm the mysterious master k.

This time, I bring you the "mmk product scene photography" Lora model, used to generate e-commerce photography scene images, thereby solving problems such as lack of creativity and inspiration in product photography space.

Generation suggestion: use DPM++ SDE Karras, 20-30 steps.

     Eta noise seed delta (ENSD - Eta noise seed delta, recommended value 31337)

For enhanced photography effects, you can add: sharp focus, cinematic lighting, octane render, unreal engine, volumetrics DTX, (film grain, bokeh, blurry foreground, blurry background) and other professional photography tips

Natural elements can include tags like dead wood, flower, plant, water, gradient background styles, and blurry background effects

Negative keywords to use:

3D, cartoon, low resolution, bad anatomy, extra digit, fewer digits, cropped, UnrealisticDream, BadDream, worst quality, low quality, normal quality, JPEG artifacts, signature, blurry, illustration

•vae: vae-ft-mse-840000-ema-pruned,

•sampling: DMP++2M SDE, DMP++2M SDE Karras, DMP++2M Karras.

•steps: 25-30

•high-resolution restoration: around 15 steps

•zoom algorithm: 8x_NMKD-Superscale_150000_G

•repainting range: around 0.7

•zoom factor: 1.5-2



We hope everyone can support us with more feedback~~

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