InstaPic

CHECKPOINT
Original


Updated:

InstaPic

The goal of this LoRA is to generate high-quality images optimized for social media content creation.


Tests

Images Here


Model Versions & Training Details

Training Overview:

Four distinct versions were trained during development, each with different approaches and datasets. However, only Version 1 and the Mixed Version (V1+V3) will be released, as the mixed version demonstrates superior results compared to Version 1 alone.

[InstaPic V1 - Original Foundation]

Core Training Specifications:

  • Dataset: 600 carefully curated real images with professional post-production

  • Rank: 256 (resulting in ~4.4GB LoRA file)

  • Training Tool: Diffusion Pipe with optimized parameters

  • Focus: Instagram-style content and social media aesthetics

  • Resolution Optimization: Trained for vertical Instagram formats

The high rank (256) was an experimental study I conducted to test quality retention. This original version establishes the foundation for Instagram-style generation.

[InstaPic Mixed (V1+V3) - Enhanced Edition]

Advanced Combined Training:

  • Base: Version 1 foundation dataset

  • Enhancement: Combined with Version 3 SDXL-enhanced training data

  • Quality: Superior results compared to V1 alone

  • Training: Merged training approach for comprehensive style coverage

[Versions V2 & V4 - Experimental Editions]

  • V2: High volume training experiments (17k images, lower resolution)

  • V4: Multi-source fusion with StyleGAN and VTON datasets

  • Status: Development only - Not planned for release

  • Purpose: Research and development for future iterations


Available Model Formats

Released Versions:

InstaPic V1 (Original):

  • Rank 256 - 4.4GB - Original foundation model

InstaPic Mixed (V1+V3) - Recommended:

  • FP16 - Full precision version with maximum quality

  • FP8 E3M4FN - Optimized compression with maintained quality

SDXL Style LoRA:

  • InstaPic Style SDXL - Enhanced version trained on V1 images processed through Image-to-Image using the Big Love SDXL model, providing improved detail and SDXL-optimized quality

Pre-Merged Qwen Image Base Model:

Ready-to-use merged versions with original LoRAs embedded:

  • BF16 (Full Precision) - Maximum quality, larger file size

  • Q8 (High Quality) - Excellent balance of quality and efficiency

  • Q6 (Balanced) - Good quality with moderate compression

  • Q4 (Efficient) - Fastest inference with acceptable quality


🧩 Prompt Template (Dataset Style)

Use this template based on the dataset caption style to achieve superior quality:

1nst4p1c Woman with [detailed hair description], wearing [specific clothing items], 
[specific pose/position] in/on [detailed location]. 
She has [expression] and [hand/body positioning]. 
[Body visibility/clothing details]. 
The background is [detailed background description with specific elements]. 
The lighting is [lighting type] with [lighting effects]. 
The overall aesthetic is [aesthetic description]. 
The image is well-composed, with [composition details]. 
The camera angle is [specific angle], looking [direction] on the subject. 
The depth of field is [depth description], with [focus details].

Examples (Dataset Style):

1. Bedroom casual

1nst4p1c Woman with long black hair, wearing a white crop top and lace shorts, sitting cross-legged on a bed with a laptop on her lap. She has a neutral expression and her fingers are resting lightly on the keyboard. Her body is mostly visible, with the crop top revealing her midriff. A small tattoo is visible on her collarbone. The background shows blurred string lights and a wooden shelf with books. The lighting is soft and diffused, creating warm tones across her skin. The overall aesthetic is casual and slightly suggestive. The image is well-composed, with a shallow depth of field focusing on the woman while the background remains softly blurred. The camera angle is slightly elevated, looking down on the subject.

2. Urban rooftop

1nst4p1c Woman with long wavy red hair, wearing a black leather jacket and ripped jeans, standing on a rooftop ledge. She has a neutral expression and her hands are resting on the railing. Her body is angled slightly away from the viewer but her gaze is directed towards the camera. A small star tattoo is visible on her wrist. The background shows blurred city lights and concrete buildings with metal structures. The lighting is soft and diffused with warm golden tones from the sunset. The overall aesthetic is urban and slightly edgy. The image is well-composed, with the woman in sharp focus and the background slightly blurred. The camera angle is eye level, looking directly at the subject.

3. Pool area

1nst4p1c Woman with long blonde hair in loose waves, wearing a floral bikini top and matching bottom, sitting at the edge of a pool. She has a neutral expression and her hands are supporting her body as she leans back slightly. Her legs are partially submerged in the water. The background is turquoise pool water with blurred palm trees and poolside furniture. The lighting is bright natural sunlight creating highlights on her skin. The overall aesthetic is summery and relaxed. The image is well-composed, with a shallow depth of field focusing on the woman. The camera angle is slightly elevated, looking down on the subject.

4. Industrial setting

1nst4p1c Woman with long black hair, wearing a black bikini top and fishnet stockings, posing near a concrete wall. She has a neutral expression and her hands are positioned near her face. Her body is mostly visible, with the fishnet stockings adding texture to the composition. The background is a blurred construction site with orange-brown walls and metal scaffolding. The lighting is soft and diffused, with no harsh shadows. The overall aesthetic is casual and slightly edgy. The image is well-composed, with the woman in sharp focus and the background softly blurred. The camera angle is slightly elevated, looking down on the subject.

5. Natural outdoor

1nst4p1c Woman with long dark hair, wearing a yellow swimsuit with black stripes, standing near rocks by water. She has a neutral expression and her hands are at her sides. Her body is mostly visible, with the swimsuit fitting closely to her form. The background shows blurred rocks and water with natural vegetation. The lighting is soft natural daylight creating even illumination across her skin. The overall aesthetic is minimalistic and natural. The image is well-composed, with the woman's body angled slightly away from the viewer but her gaze directed towards the camera. The depth of field is shallow, with the woman in sharp focus and the background slightly blurred.

Key Dataset Elements (Very Important for Quality):

  • Specific clothing details (bikini top/bottom, crop top, etc.)

  • Precise pose descriptions (sitting cross-legged, kneeling, standing near, etc.)

  • Body visibility statements ("Her body is mostly visible", "wearing only", etc.)

  • Industrial/urban backgrounds (construction site, concrete, metal, etc.)

  • Lighting always "soft and diffused"

  • "Well-composed" always present

  • Specific camera angles (slightly elevated, looking down)

  • Depth of field always mentioned

LoRA Recommendation:

Use the Mixed (V1+V3) versions for best results, as they *********** superior quality compared to the original V1 alone.


Optimal Resolution Settings

  • Stories/Reels: 1080 x 1920 (9:16 aspect ratio)

  • Alternative Vertical: 1088 x 1920 (optimized for training)

  • Posts: 1080 x 1350 (4:5 aspect ratio)

  • Square Posts: 1080 x 1080 (1:1 aspect ratio)

High-Quality Resolutions (divisible by 16):

  • 1536 x 1024 - Landscape format

  • 1024 x 1536 - Portrait format

  • 1536 x 864 - Wide format

  • 864 x 1536 - Tall format

  • 1152 x 1536 - Alternative portrait

  • 1536 x 1152 - Alternative landscape

Resolution Guidelines:

  • All resolutions should be divisible by 16 for optimal processing

  • Avoid excessive high resolutions to prevent screendoor effects

  • Vertical formats preferred for authentic Instagram aesthetics

  • Height > Width ratios work best with this model

  • Test different aspect ratios for varied content types


Standard ComfyUI (Built-in):

Euler Ancestral + Schedulers:

  • euler_ancestral + beta

  • euler_ancestral + kl_optimal

  • euler_ancestral + simple

DEIS 3M + Schedulers:

  • deis_3m + beta

RES4LYF Custom Node Required:

Note: These combinations require the RES4LYF custom node installation in ComfyUI

Res 2S + Schedulers:

  • res_2s + simple

  • res_2s + beta

  • res_2s + beta57

  • res_2s + bong_tanget

DEIS 3M + Advanced Schedulers:

  • deis_3m + beta57

Lightning Model Integration (8 steps):

Compatible with Lightning 8-step models as demonstrated in sample images - provides ultra-fast generation while maintaining quality.

Installation Note:

To access beta57, bong_tanget schedulers and some advanced samplers, install the RES4LYF custom node in your ComfyUI environment.

Quality Considerations:

  • Beta schedulers: Generally provide smoother gradients

  • Simple scheduler: Faster inference with good quality

  • KL_optimal: Best for detailed textures

  • Beta57: Enhanced beta scheduler (requires RES4LYF)

  • Bong_tanget: Experimental scheduler for unique artistic effects (requires RES4LYF)


Usage Guidelines

Trigger Word:

1nst4p1c - Always include at the beginning of your prompts

Instagram-Optimized Prompt Structure:

  1. Trigger Word: 1nst4p1c

  2. Subject & Style: Instagram influencer, casual selfie, lifestyle shot

  3. Composition: Vertical framing, close-up, medium shot, full body

  4. Instagram Elements: Phone visible, ring light, modern background

  5. Lighting: Natural light, soft lighting, golden hour, ring light effect

  6. Aesthetic: Instagram filter look, social media ready, influencer style


Technical Specifications

Training Infrastructure:

  • Primary Tool: Diffusion Pipe

  • Base Architecture: Compatible with SD 1.5/SDXL models

  • Optimization: Instagram-specific styling and composition

  • Post-Processing: Social media enhancement pipeline

Performance Characteristics:

  • Memory Usage: 4.4GB (V1 Original) / Variable (Mixed Versions) / Variable (SDXL)

  • Optimal Resolution: Any resolution divisible by 16

  • Inference Speed: 30-40 steps standard, 8 steps with Lightning models

  • Style Consistency: High reliability for Instagram aesthetics


Quality Features

Instagram Aesthetics:

  • Authentic social media styling

  • Mobile photography look

  • Modern composition techniques

  • Social media color grading

  • Influencer-style posing

Technical Excellence:

  • Vertical format optimization

  • Sharp focus with natural depth of field

  • Consistent lighting and exposure

  • Professional mobile photography simulation

  • Anti-screendoor effect optimization

  • Lightning model compatibility for fast generation


System Requirements & Dependencies

ComfyUI Requirements:

  • Standard Installation: Basic ComfyUI setup

  • RES4LYF Custom Node: Required for advanced schedulers (beta57, bong_tanget) and some samplers

  • Installation: Follow RES4LYF documentation for proper setup

Screendoor Effect Prevention:

  • Avoid resolutions above 1920 height

  • Use recommended sampler/scheduler combinations

  • Test different CFG scales if artifacts appear

  • Monitor for texture irregularities at high resolutions

The model deployment is abnormal, please re-upload/contact customer service.

Version Detail

Qwen-Image
14

Project Permissions

    Use Permissions

  • Use in TENSOR Online

  • As a online training base model on TENSOR

  • Use without crediting me

  • Share merges of this model

  • Use different permissions on merges

    Commercial Use

  • Sell generated contents

  • Use on generation services

  • Sell this model or merges

Related Posts