Pranmay Image Generation

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Platform: Replicate

Text-to-ImageImage-to-ImageInpaintingLoRA Generation

103 runs

H100

License Check Required

🚀Function Overview

A diffusion-based model that generates or modifies images via text prompts, input images, masks, and style customization using LoRA weights.

Key Features

Generative image creation from text prompts
Image-to-image transformation
Mask-based inpainting
Adjustable aspect ratios and custom dimensions
LoRA integration for style/object customization
FP8 quantization for faster inference
Configurable denoising steps and guidance scale

Use Cases

•Creating images from textual descriptions
•Editing existing images by removing/replacing elements
•Applying artistic styles via LoRA weights
•Generating image variations with adjustable parameters

⚙️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": "In a dimly lit underground parking garage, Pranmay stands confidently, cloaked in a stylish black Half sleeves T-shirt white ensemble. His tousled hair adds a rebellious flair. The stark fluorescent lights above create dramatic shadows, accentuating his features while casting a cinematic glow on the concrete surface. The background showcases a hint of parked vehicles, adding depth but remaining subdued in color to maintain focus on the subject. The composition balances tension and allure, evoking an urban, edgy vibe reminiscent of a music video. The use of negative space amplifies the boldness of the figure, making it stand out against the muted surroundings. Aim for a moody aesthetic often seen in contemporary street photography, invoking feelings of intrigue and a touch of danger while emphasizing texture and contrast. The overall style reflects a mix of goth and streetwear influences, underpinned by a sense of defiance and individuality.",
  "go_fast": false,
  "lora_scale": 1,
  "megapixels": "1",
  "num_outputs": 4,
  "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/tkDtQ09KxBZAO9mb6SkVN5k9lqlgqTB8VM434XiFEx2wF5IF/out-0.webp

https://replicate.delivery/xezq/lhh4M5z03x63IhxakBfhUjf5S1T6fGdafW5n8fhtUfX8wF5IF/out-1.webp

https://replicate.delivery/xezq/QMKrtvt5rNovJplfORkv4g3KKVBWAbLiFwZNj289bi2hLyRKA/out-2.webp

https://replicate.delivery/xezq/XcRL5Gd6gaK4KxteaU3FSfMMS4FLV4IshC4mxFWPmARDXkjUA/out-3.webp

Quick Actions

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Technical Specifications

Hardware Type: H100
Run Count: 103
Commercial Use: Unknown/Restricted
Platform: Replicate

Related Keywords

Text-to-ImageImage-to-ImageInpaintingLoRA IntegrationImage EditingStyle CustomizationDiffusion ModelArtistic Styles

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