Blog Image Generator by Nat Wanderer

Transform your ideas into captivating visuals with the Blog Image Generator by Nat Wanderer. Discover how this AI model can transform your workflow!

Platform: Replicate

Text-to-ImageImage InpaintingLoRA IntegrationDiffusion Model

56 runs

H100

License Check Required

🚀Function Overview

Generates and edits images through text prompts, supporting img2img, inpainting, custom aspect ratios, LoRA fine-tuning, and adjustable quality parameters.

Key Features

Prompt-based image generation with trigger words
Image-to-image transformation and inpainting
Adjustable image resolution/aspect ratio
Multiple inference models for speed/quality tradeoffs
LoRA model integration for style/object customization
Output quality and format controls
Denoising step and guidance scale adjustments

Use Cases

•Creative image generation from text descriptions
•Editing existing photos via inpainting/masks
•Rapid concept prototyping with fast inference mode
•Stylized image creation using custom 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": "TOK, cinematic ultra-detailed photorealistic side-profile portrait of a young woman, shown from the shoulders up. She is nude, her skin smooth and flawless, softly illuminated by cool, blue-toned professional studio lighting. Her profile is elegant and sculptural, and the light subtly defines the line of her neck, collarbone, and cheek. Her hair is styled in voluminous, glossy curls that cascade down and blend into the shadows, catching subtle cool reflections.\n\nLarge, sharp-edged glass shards are positioned across her upper body and in her hair — dramatic, crystalline pieces with jagged, angular forms, like broken windows and crystals. There are a lot of them - the biggest ones look like a crown. These shards are thick and translucent, refracting the icy blue light with striking clarity. Their placement suggests a surreal fusion of vulnerability and danger: embedded gently but prominently along her shoulder, collarbone, neck, and tangled elegantly within her curls. The sharp points and fractured edges sparkle as they catch the light, creating an intense interplay of glow and shadow.\n\nThe background is almost completely black, with a deep midnight blue undertone that softly gradients into the darkness. There are no objects or background elements — only the woman, the glass, and the atmosphere. The studio lighting is carefully directed: soft fill from the front, and sharp edge light from behind, all tinted cool blue, making her form glow softly while the glass reflects with dramatic brilliance.\n\nThe overall mood is haunting, surreal, and visually striking — like a fashion editorial from a dark fantasy world. The sharp, large shards against bare skin add an emotional charge: beauty meets danger, fragility meets defiance.\n\nNegative prompt additions: no warm light, no background objects, no clothing, no jewelry, no food, no kitchen, no text, no logos, no clutter, no extra limbs, no distortion, no softness in glass — shards must be large and sharp.",
  "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/fiAKjKEBYUV7aKNqOzwqWQivBJfkzDBHdz2TTdbe00MpZqQpA/out-0.webp

Quick Actions

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Technical Specifications

Hardware Type: H100
Run Count: 56
Commercial Use: Unknown/Restricted
Platform: Replicate

Related Keywords

Text-to-Image GenerationImage InpaintingLoRA Fine-tuningCustom Aspect RatiosFast InferencePrompt-based EditingCreative Image GenerationConcept Prototyping

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