Mindy Generator

Discover Mindy Generator, a powerful tool for effortless image generation. Ready to experience the power of AI? Start your journey here!

Platform: Replicate

Image GenerationImage InpaintingLoRA IntegrationDiffusion Models

22 runs

H100

License Check Required

🚀Function Overview

Generates images from text prompts with configurable settings for aspects like aspect ratio, guidance scale, and LoRA weights, while supporting image inputs for inpainting and img2img transformations.

Key Features

Text-to-image generation with detailed prompt control
Image-to-image transformation and inpainting via mask inputs
Adjustable aspect ratios and custom dimensions
Choice between speed-optimized and quality-focused models
LoRA weight scaling and custom LoRA integration
Configurable safety checker and output formats

Use Cases

•Creating custom character art from descriptions
•Editing/retouching images with inpainting masks
•Generating stylistic variations of input images
•Prototyping designs with fast inference modes
•Applying specialized styles via external LoRA models

⚙️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": "Stunningly pretty pictures of Mindy with long dark hair and medium dark brown eyes, wearing trendy, cute and slightly revealing outfits like skimpy yoga outfits and trendy fashionable outfits that are sexy and showing cleavage, long legs and curvy, posing in a modern large penthouse with sleek feminine decor with expansive windows and overlooking city skyline or beautiful nature views, with mindy in a tint of blue or pink lighting and very soft glow. The images should exude an air of sophistication, power and cuteness while remaining tasteful and cool. Focus on capturing her self-assured demeanor and feminine opulent surroundings that capture her high-class lifestyle as a successful financial dominatrix",
  "go_fast": false,
  "lora_scale": 1,
  "megapixels": "1",
  "num_outputs": 4,
  "aspect_ratio": "16:9",
  "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/vybwkHL31o6EJhEdDG4CdNF1kooJnxS78CpvYG5MiCnKUiNF/out-1.webp

https://replicate.delivery/xezq/aVYs7siddSbuLxNLZmVryCxR9aHR9jMJB1dexLNA3uNVoEbKA/out-3.webp

Quick Actions

Use NowView Documentation

Technical Specifications

Hardware Type: H100
Run Count: 22
Commercial Use: Unknown/Restricted
Platform: Replicate

Related Keywords

Image GenerationImage InpaintingLoRA IntegrationText-to-ImageImage-to-ImageCustom Character ArtImage EditingStylistic Variations

Related Models

Flash Beta Image Generation

A model for generating and editing images using text prompts and input images.

LamuriV3Suit

A model for generating and editing images with support for text prompts, image inputs, inpainting, and LoRA integration.

Pitiduval

A model for generating and editing images using text prompts and input images.