Fluye Ceramic Pro 600ml

Unleash the power of the Fluye Ceramic Pro 600ml for generating stunning, photorealistic product images. See what makes this AI model special!

Platform: Replicate

Product VisualizationLoRA CustomizationImage InpaintingPhotorealistic Rendering

15 runs

H100

License Check Required

🚀Function Overview

Generates photorealistic product images through text prompts or image inputs using configurable diffusion processes with precise aspect control and LoRA adaptability.

Key Features

Supports text-to-image and image-to-image generation
Inpainting capabilities with mask inputs
LoRA integration for style/object customization
Adjustable image dimensions and aspect ratios
Multi-step diffusion process control
Quality optimization for output formats

Use Cases

•Product photography generation for e-commerce
•Design mockups with consistent object proportions
•Brand visual asset creation
•Prototype visualization with customizable styles

⚙️Input Parameters

prompt

string

Prompt for generated image. If you include the `trigger_word` used in the training process you are more likely to activate the trained object, style, or concept in the resulting image.

image

string

Input image for image to image or inpainting mode. If provided, aspect_ratio, width, and height inputs are ignored.

mask

string

Image mask for image inpainting mode. If provided, aspect_ratio, width, and height inputs are ignored.

aspect_ratio

string

Aspect ratio for the generated image. If custom is selected, uses height and width below & will run in bf16 mode

height

integer

Height of generated image. Only works if `aspect_ratio` is set to custom. Will be rounded to nearest multiple of 16. Incompatible with fast generation

width

integer

Width of generated image. Only works if `aspect_ratio` is set to custom. Will be rounded to nearest multiple of 16. Incompatible with fast generation

prompt_strength

number

Prompt strength when using img2img. 1.0 corresponds to full destruction of information in image

model

string

Which model to run inference with. The dev model performs best with around 28 inference steps but the schnell model only needs 4 steps.

num_outputs

integer

Number of outputs to generate

num_inference_steps

integer

Number of denoising steps. More steps can give more detailed images, but take longer.

guidance_scale

number

Guidance scale for the diffusion process. Lower values can give more realistic images. Good values to try are 2, 2.5, 3 and 3.5

seed

integer

Random seed. Set for reproducible generation

output_format

string

Format of the output images

output_quality

integer

Quality when saving the output images, from 0 to 100. 100 is best quality, 0 is lowest quality. Not relevant for .png outputs

disable_safety_checker

boolean

Disable safety checker for generated images.

go_fast

boolean

Run faster predictions with model optimized for speed (currently fp8 quantized); disable to run in original bf16

megapixels

string

Approximate number of megapixels for generated image

lora_scale

number

Determines how strongly the main LoRA should be applied. Sane results between 0 and 1 for base inference. For go_fast we apply a 1.5x multiplier to this value; we've generally seen good performance when scaling the base value by that amount. You may still need to experiment to find the best value for your particular lora.

extra_lora

string

Load LoRA weights. Supports Replicate models in the format <owner>/<username> or <owner>/<username>/<version>, HuggingFace URLs in the format huggingface.co/<owner>/<model-name>, CivitAI URLs in the format civitai.com/models/<id>[/<model-name>], or arbitrary .safetensors URLs from the Internet. For example, 'fofr/flux-pixar-cars'

extra_lora_scale

number

Determines how strongly the extra LoRA should be applied. Sane results between 0 and 1 for base inference. For go_fast we apply a 1.5x multiplier to this value; we've generally seen good performance when scaling the base value by that amount. You may still need to experiment to find the best value for your particular lora.

💡Usage Examples

Example 1

Input Parameters

{
  "model": "dev",
  "prompt": "TTwo fluyeceramicpro600ml bottles in matte black (Pantone Process Black C), standing side by side in a clean, minimalistic studio scene with a deep olive-green background. The bottles are identical in shape, structure, and design, both based on the real-world fluyeceramicpro600ml proportions. If any visual difference in size appears, it must be caused only by perspective or camera angle, not by changing the product’s dimensions or design.\n\n Bottle Structure – Keep Proportions Consistent at Any Scale:\nHandle: H = 1.76 cm, W = 3.46 cm\n\nLid (excluding handle): H = 1.95 cm, W = 3.46 cm\n\nNeck: H = 1.55 cm, W = 4.88 cm\n\nMain Body: H = 12.81 cm, W = 4.88 cm\n\nThese parts must align cleanly to form the distinctive three-piece construction of the Fluye Ceramic Pro 600ml bottle. Do not alter proportions or structure on either bottle.\n\n Fluye Logo Placement:\nLaser-engraved Fluye logo only\n\nLogo Size: 3 cm wide x 1.6 cm tall\n\nLogo Placement: Bottom of the ‘y’ must sit exactly 1.8 cm from the bottom edge of the bottle\n\nThe wave division in the logo must be preserved perfectly\n\nNo additional branding elements, logos, or printed textures\n\n Visual Composition:\nBoth bottles have matte stainless steel exteriors with ceramic coating inside\n\nBase includes a discreet black silicone ring (non-glossy, anti-slip)\n\nPerspective may create a slight visual offset, but shape, size, and design must remain identical\n\nBottles are side-by-side, with natural spacing and symmetry in their placement\n\n Lighting & Mood:\nSoft, diffused studio lighting, gently highlighting the matte texture\n\nNo plastic shine or fake reflections\n\nRealistic shadows grounded to the surface — no floating bottles\n\nNo visual noise, AI artifacts, or computer-generated backdrops\n\nFinal output must look like a luxury studio product photograph — elegant, precise, and consistent — capturing the true form and feel of the fluyeceramicpro600ml.",
  "go_fast": false,
  "lora_scale": 1,
  "megapixels": "1",
  "num_outputs": 1,
  "aspect_ratio": "1:1",
  "output_format": "webp",
  "guidance_scale": 3,
  "output_quality": 80,
  "prompt_strength": 0.8,
  "extra_lora_scale": 1,
  "num_inference_steps": 28
}

Output Results

https://replicate.delivery/xezq/MgTbidxCGqreFCRSL2rNHWVRre30XpofEftzbBq8Rw5PxSNSB/out-0.webp

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Technical Specifications

Hardware Type: H100
Run Count: 15
Commercial Use: Unknown/Restricted
Platform: Replicate

Related Keywords

Photorealistic RenderingConsistent Product ProportionsLoRA CustomizationProduct Photography GenerationDesign MockupsBrand Visual Asset CreationPrototype VisualizationImage Inpainting

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