Create README2.md

# SDXL Sketch-Style LoRA (PonyDiffusion XL)

## Overview
This project is a **LoRA-based style adaptation** trained on **PonyDiffusion XL** to transform anime and illustration-focused SDXL outputs into **sketch-like and draft illustration variants**.
The goal is stylistic modification rather than subject memorization, preserving composition while emphasizing linework and reduced rendering polish.

## Training Base and Method
- **Base model:** PonyDiffusion XL (SDXL-compatible)
- **Training framework:** kohya_ss
- **Format:** LoRA (.safetensors)
- **Precision:** fp16 mixed precision

Although trained on PonyDiffusion XL, the LoRA is intended to be applied to **SDXL models that generate stylized art or anime**, not photorealistic imagery.

## Intended Use
This LoRA is designed for:
- Anime and illustration-style SDXL models
- Draft, concept-art, and sketch aesthetics
- Educational and experimental workflows involving style fine-tuning

**Not intended for:**
- Photorealistic SDXL models
- Real-world or photographic content
- High-fidelity color illustration

Applying the LoRA outside its intended scope may result in degraded or unstable outputs.

## Style Characteristics
When enabled, the LoRA tends to:
- Emphasize visible lineart and contours
- Simplify shading and textures
- Reduce color saturation
- Produce a hand-drawn or unfinished illustration look

## Usage Notes
- Recommended LoRA strength: `0.6 – 1.0`
- Best results are achieved with prompts that include stylistic cues such as:
sketch, rough lineart, pencil drawing, draft illustration
- Compatible with common SDXL inference tools (AUTOMATIC1111, ComfyUI, Diffusers).

## Limitations
- Results vary depending on base model and prompt structure
- Strong LoRA weights may oversimplify fine details
- Designed for stylistic transformation, not realism or accuracy

## File
- LoRA weights provided in `.safetensors` format

## Author
WorthyHuman1

README.md

@@ -0,0 +1,143 @@
+---
+language: en
+tags:
+- stable-diffusion
+- sdxl
+- lora
+- image-generation
+- style-transfer
+- sketch
+license: creativeml-openrail-m
+---
+
+# Model Card for SDXL Sketch-Style LoRA
+
+## Model Details
+
+### Model Description
+
+This model is a **LoRA fine-tuning module** for **SDXL-based anime and art-style image generation models**.  
+It transforms polished renders into **sketch-like / draft illustration** variants by emphasizing linework, rough shading, and reduced color saturation while preserving composition and subject structure.
+
+- **Developed by:** WorthyHuman1  
+- **Model type:** LoRA (Low-Rank Adaptation) for SDXL  
+- **License:** CreativeML Open RAIL-M  
+- **Finetuned from model:** SDXL 1.0–compatible anime/art checkpoints
+
+
+---
+
+## Uses
+
+### Direct Use
+
+Load this LoRA into any **SDXL-compatible pipeline** that supports LoRA weights to produce sketch-style outputs from text prompts.
+
+Common use cases:
+- Generating draft/concept-art sketches
+- Exploring stylistic variations
+- Educational demonstrations of style fine-tuning
+
+### Downstream Use
+
+Can be combined with:
+- Other LoRAs (character, pose, lighting)
+- Custom SDXL pipelines and workflows
+
+### Out-of-Scope Use
+
+- Photorealistic image generation
+- High-fidelity full-color illustration
+- Deceptive or misleading content generation
+
+---
+
+## Bias, Risks, and Limitations
+
+- Output quality depends on base model and prompt phrasing.  
+- Strong LoRA weights may oversimplify textures or reduce color fidelity.  
+- Style reflects patterns in the training data and may not generalize uniformly across all art styles.
+
+### Recommendations
+
+- Experiment with LoRA strengths between `0.6` and `1.0`.  
+- Use sketch-related keywords: `sketch`, `rough lineart`, `pencil drawing`, `unfinished illustration`.  
+- Combine with an appropriate SDXL base model for best results.
+
+---
+
+## How to Get Started
+
+**Suggested prompt keywords:**
+sketch_style, rough lineart, pencil drawing, unfinished illustration
+
+**Recommended LoRA strength:** `0.6 – 1.0`
+
+Compatible with common SDXL tools (Diffusers, AUTOMATIC1111, ComfyUI, etc.).
+
+---
+
+## Training Details
+
+### Training Data
+
+Trained on a curated dataset of sketch-style and draft illustration images, filtered to emphasize line-based structure and reduced rendering polish. Training focused on style transformation rather than subject memorization.
+
+### Training Procedure
+
+Parameter-efficient fine-tuning using LoRA techniques on SDXL-compatible layers.
+
+#### Training Hyperparameters
+
+- **Precision / regime:** fp16 mixed precision
+
+#### Compute
+
+- **Hardware:** NVIDIA GeForce RTX 4050  
+- **Approximate training time:** 16 hours
+
+---
+
+## Evaluation
+
+### Testing Data, Factors & Metrics
+
+Evaluation performed qualitatively across multiple SDXL base models and diverse prompts covering characters, portraits, and scenes. Assessment prioritized visual coherence, stylistic consistency, and prompt adherence via side-by-side comparisons.
+
+### Results
+
+Produces consistent sketch-like outputs while preserving core composition across a variety of prompts when paired with suitable base models.
+
+---
+
+## Environmental Impact
+
+- **Hardware:** NVIDIA GeForce RTX 4050  
+- **Hours used:** ~16 hours  
+- **Compute region:** local / on-prem
+
+(Estimate only)
+
+---
+
+## Technical Specifications
+
+### Model Architecture and Objective
+
+- Architecture: SDXL LoRA  
+- Objective: Style adaptation toward sketch/draft aesthetics
+
+### Software
+
+- SDXL-compatible inference/training tools  
+- LoRA training framework (PyTorch-based)
+
+---
+
+## Model Card Authors
+
+- WorthyHuman1
+
+## Model Card Contact
+
+- Hugging Face: `@WorthyHuman1`