---
title: Painterly Fantasy Portrait   V1.0 API | Text to Image | ModelsLab
description: Generate images from text with Painterly Fantasy Portrait   V1.0. High-resolution AI image generation for any style. Pay-per-use pricing. Free tier available.
url: https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/modelslab/painterly-fantasy-portrait-v1-0
canonical: https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/modelslab/painterly-fantasy-portrait-v1-0
type: product
component: Playground/Endpoint/Index
generated_at: 2026-04-01T14:08:06.369467Z
---

# Painterly Fantasy Portrait   V1.0 API | Text to Image | ModelsLab

> Generate images from text with Painterly Fantasy Portrait   V1.0. High-resolution AI image generation for any style. Pay-per-use pricing. Free tier available.

**Navigation**: [Home](https://modelslab-frontend-v2-927501783998.us-east4.run.app) > [Models](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models) > [ModelsLab](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/modelslab) > [Painterly Fantasy Portrait   V1.0](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/modelslab/painterly-fantasy-portrait-v1-0)

## Model

### [Painterly Fantasy Portrait - v1.0](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/modelslab/painterly-fantasy-portrait-v1-0)

**Model ID:** painterly-fantasy-portrait-v1-0
**Category:** Flux
**Type:** Lora
**Provider:** Modelslab

Painterly Fantasy Portrait LoRA for Flux DevThis LoRA is designed to create stunning fantasy portraits in a painterly, oil painting style. It captures the texture and depth of traditional oil paintings, offering a rich and expressive aesthetic perfect for character-focused artwork. With soft brushstrokes, layered colors, and a timeless, classical feel, this model is ideal for generating elegant, highly detailed fantasy portraits.Images used in the training were picked from Flux Dev generations with a wide variety of prompts and inputs and pruned to get the style I liked.Use the following keywords: in the style of chargen_oil_painting image of a &lt;&lt;your prompt&gt;&gt;Key Features:Oil Painting Aesthetic: Emulates the look of traditional oil paintings with textured brushstrokes, smooth transitions, and a rich, layered color palette that adds depth and warmth to each portrait.Soft, Painterly Finish: Uses soft, blended strokes to create a more natural and organic look, perfect for capturing the subtle details and expressions of fantasy characters.Fantasy Focused: This LoRA excels at portraying characters in rich, fantastical settings, whether they re noble elves, fierce warriors, or mystical beings.Use Cases:Character Portraits: Ideal for creating highly detailed, classical-style portraits of fantasy characters for RPGs, concept art, or personal projects.Fantasy Illustrations: Perfect for artists and designers who want to add a traditional, painterly feel to their fantasy illustrations with a focus on character-driven artwork.Technical Details:Developed for Flux Dev: This LoRA was trained to prioritize the painterly oil painting style, offering a refined tool for creating professional-grade fantasy portraits that combine rich textures with a classic art approach.

Tags: dnd, style, fantasy, painterly, rpg, styles

## Endpoint

### Text to Image Community Model

**Endpoint:** `v6/images/text2img`
**Provider:** Modelslab
**Category:** Image

Generate photorealistic and imaginative images from text prompts with advanced detail, inpainting, and image-to-image translation features, ideal for creatives and marketers.

Per image generation will cost 0.0047$ 
For premium plan image generation will cost 0.00$ i.e Free.

## API Docs

- [API Docs](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/modelslab/painterly-fantasy-portrait-v1-0/llms.txt)

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*This markdown version is optimized for AI agents and LLMs.*

**Links:**
- [Website](https://modelslab.com)
- [API Documentation](https://docs.modelslab.com)
- [Blog](https://modelslab.com/blog)

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*Generated by ModelsLab - 2026-04-01*