Leia Organa Image Generator

Unleash your creativity with the Leia Organa Image Generator, a powerful tool for Star Wars character image generation and cinematic artistry.

Platform: Replicate

Star Wars Character GenerationImage InpaintingLoRA Fine-tuningCinematic Image Creation

22 runs

H100

License Check Required

🚀Function Overview

A fine-tuned image generation model for creating cinematic depictions of Leia Organa that supports text-to-image conversion, image-to-image transformation, and inpainting with LoRA adaptability.

Key Features

Generates images from text prompts with character-specific fine-tuning
Supports image inpainting and transformations using mask inputs
Adjustable resolution, aspect ratio, and generation speed modes
LoRA scaling for customized style application
Parameter control over denoising steps, guidance scale, and output quality

Use Cases

•Creating artistic renditions of Leia Organa in cinematic scenes
•Editing existing images of characters through inpainting
•Generating promotional/fan art with specific visual styles
•Prototyping character designs with controlled visual 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": "Close-up headshot of Leia Organa sitting under a massive, ancient tree in a wide grass field at dusk. Her face is partially shadowed by the overhanging branches, eyes intense and distant, clearly upset but holding back tears. She wears a soft, flowing cloak reminiscent of her post-Rebellion attire—regal but weathered. The golden light of sunset touches the edges of her hair, while the rest of the scene fades into deep natural greens and browns. Her expression carries years of pain, anger, and restraint. The towering tree above her symbolizes legacy and burden. Cinematic lighting, emotional realism, soft depth of field, with a moody and reflective tone.",
  "go_fast": false,
  "lora_scale": 1,
  "megapixels": "1",
  "num_outputs": 1,
  "aspect_ratio": "21:9",
  "output_format": "jpg",
  "guidance_scale": 3,
  "output_quality": 80,
  "prompt_strength": 0.8,
  "extra_lora_scale": 1,
  "num_inference_steps": 28
}

Output Results

https://replicate.delivery/xezq/4aktjCsxfn0YZit7fKbBZijfY8CvDK9KCyniwKvd5SXcYHUpA/out-0.jpg

Quick Actions

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Technical Specifications

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

Related Keywords

Star Wars Character Image GenerationImage InpaintingLoRA Fine-tuningCinematic Image CreationText-to-ImageImage-to-ImageFan Art Generation

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