Yanaaava Image Generation

Unleash your creativity with Yanaaava Image Generation. This versatile model handles text-to-image, image-to-image, and inpainting tasks.

Platform: Replicate

Image GenerationImage-to-ImageInpaintingLoRA Support

72 runs

H100

License Check Required

🚀Function Overview

Generates and modifies images via text prompts, supporting image-to-image transformations, inpainting, aspect ratio control, LoRA scaling, and multiple output settings.

Key Features

Text-to-image generation with prompt guidance
Image-to-image transformation with strength control
Inpainting using image masks
Aspect ratio and dimension customization
Multiple output formats and quality settings
Optimized modes for speed (fp8) vs quality (bf16)
LoRA adapter support for custom styles/concepts

Use Cases

•Creative art generation from text
•Photo editing and enhancement
•Object removal/replacement via inpainting
•Style transfer using LoRA weights
•Rapid prototyping of visual concepts

⚙️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

{
  "image": "https://replicate.delivery/pbxt/N3KeQLdGOV4RCYZv3YF6cNX0Y2XAU6e2MtHq00ZyzLYINcuU/Blue%20sweater%20dress%20%282%20of%203%29.jpg",
  "model": "dev",
  "prompt": "Beautiful Yanaaava with long hair posing on an ornate stone balustrade overlooking a pristine blue lake. She's wearing a fitted royal blue woollen mini dress with a v-neck and tall black leather boots. The woman is leaning back against the decorative white stone railing with her arms spread wide in a confident pose. Behind her is a stunning lakefront scene with crystal clear blue water, lush green mountains, and a picturesque European-style town with buildings nestled along the shoreline. The setting appears to be Lake Como or similar Italian lake destination. Professional photography, bright natural lighting, luxury travel aesthetic, scenic mountain lake backdrop, ornate classical architecture details on the balustrade",
  "go_fast": false,
  "lora_scale": 1,
  "megapixels": "1",
  "num_outputs": 1,
  "aspect_ratio": "1:1",
  "output_format": "jpg",
  "guidance_scale": 3,
  "output_quality": 90,
  "prompt_strength": 0.8,
  "extra_lora_scale": 1,
  "num_inference_steps": 28
}

Output Results

https://replicate.delivery/xezq/MKYGJO5f69QJekSmqxWj0KgygIwsK74L97jXqL5nO3eXCYeSB/out-0.jpg

Quick Actions

Use NowView Documentation

Technical Specifications

Hardware Type: H100
Run Count: 72
Commercial Use: Unknown/Restricted
Platform: Replicate

Related Keywords

Text-to-ImageImage-to-ImageInpaintingLoRA SupportImage EditingCreative Art GenerationPhoto EnhancementObject Removal

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