Update README.md

README.md

@@ -1,5 +1,5 @@
 ---
-license: other
+license: apache-2.0
 base_model: "black-forest-labs/FLUX.2-klein-base-4B"
 tags:
   - flux2
@@ -7,12 +7,12 @@ tags:
   - text-to-image
   - image-to-image
   - diffusers
-  - simpletuner
-  - not-for-all-audiences
   - lora
-
-  - template:sd-lora
   - standard
+  - macos
+  - liquid-glass
+  - icon-generation
+  - apple-design
 pipeline_tag: text-to-image
 inference: true
 widget:
@@ -23,79 +23,58 @@ widget:
     url: ./assets/image_0_0.png
 ---
 
-# Andy-ML-And-AI/LIQGLASS-klein-lora
-
-This is a PEFT LoRA derived from [black-forest-labs/FLUX.2-klein-base-4B](https://huggingface.co/black-forest-labs/FLUX.2-klein-base-4B).
-
-The main validation prompt used during training was:
-```
-LIQGLASS, macOS Liquid Glass style icon, translucent frosted glass squircle shape, Safari browser app, compass symbol, blue tinted glass, specular highlight, inner glow, light refraction at edges, depth layering, soft shadow, Apple macOS design language, high detail
-```
-
 
-## Validation settings
-- CFG: `None`
-- CFG Rescale: `0.0`
-- Steps: `20`
-- Sampler: `FlowMatchEulerDiscreteScheduler`
-- Seed: `42`
-- Resolution: `512x512`
 
+# LIQGLASS — macOS 26 Liquid Glass Icon LoRA
 
-Note: The validation settings are not necessarily the same as the [training settings](#training-settings).
+<div align="center">
 
-You can find some example images in the following gallery:
+**A FLUX.2 Klein 4B LoRA fine-tuned to generate macOS Tahoe 26 Liquid Glass style app icons.**
 
+[![Model](https://img.shields.io/badge/Base%20Model-FLUX.2%20Klein%204B-blue)](https://huggingface.co/black-forest-labs/FLUX.2-klein-base-4B)
+[![License](https://img.shields.io/badge/License-Apache%202.0-green)](https://www.apache.org/licenses/LICENSE-2.0)
+[![Made by](https://img.shields.io/badge/Made%20by-Andy--ML--And--AI-purple)](https://huggingface.co/Andy-ML-And-AI)
 
-<Gallery />
-
-The text encoder **was not** trained.
-You may reuse the base model text encoder for inference.
+</div>
 
+---
 
-## Training settings
+## What is this?
 
-- Training epochs: 1
-- Training steps: 800
-- Learning rate: 0.0001
-  - Learning rate schedule: constant
-  - Warmup steps: 0
-- Max grad value: 2.0
-- Effective batch size: 1
-  - Micro-batch size: 1
-  - Gradient accumulation steps: 1
-  - Number of GPUs: 1
-- Gradient checkpointing: True
-- Prediction type: flow_matching[]
-- Optimizer: adamw_bf16
-- Trainable parameter precision: Pure BF16
-- Base model precision: `int8-quanto`
-- Caption dropout probability: 0.1%
+LIQGLASS is a LoRA adapter for FLUX.2 Klein 4B, trained on 542 hand-curated macOS 26 Tahoe Liquid Glass icons scraped and filtered from the community. It generates app icons that follow Apple's macOS 26 Liquid Glass design language — translucent frosted glass squircle shapes, specular highlights, layered depth, and clean minimal symbols.
 
+The trigger word is `LIQGLASS`.
 
+---
 
-- LoRA Rank: 8
-- LoRA Alpha: 8.0
-- LoRA Dropout: 0.1
-- LoRA initialisation style: default
-- LoRA mode: Standard
-    
+## Training Details
+
+| Parameter | Value |
+|-----------|-------|
+| Base Model | FLUX.2 Klein 4B Base |
+| Training Framework | SimpleTuner |
+| Steps | 800 |
+| LoRA Rank | 8 |
+| LoRA Alpha | 8 |
+| Learning Rate | 1e-4 |
+| Optimizer | AdamW BF16 |
+| Mixed Precision | BF16 |
+| Dataset | 542 hand-curated macOS 26 Liquid Glass icons |
+| Captioning | Qwen2.5-VL-7B (local, on Kaggle T4 x2) |
+| Resolution | 512px |
+| Trigger Word | `LIQGLASS` |
 
-## Datasets
+---
 
-### liqglass-dataset
-- Repeats: 0
-- Total number of images: 542
-- Total number of aspect buckets: 1
-- Resolution: 0.262144 megapixels
-- Cropped: True
-- Crop style: center
-- Crop aspect: square
-- Used for regularisation data: No
+## Usage
 
+### Recommended: Via app.py 
 
-## Inference
+```python
+python app.py
+```
 
+### With Diffusers + PEFT
 
 ```python
 import torch
@@ -130,5 +109,64 @@ model_output.save("output.png", format="PNG")
 
 ```
 
+## Prompt Template
+LIQGLASS, macOS Liquid Glass style icon, [APP NAME], [SYMBOL DESCRIPTION],
+[COLOR] tinted glass, translucent frosted glass squircle shape,
+[COLOR] gradient background layer with lighter frosted overlay,
+specular highlight on upper left rim, inner glow, light refraction at squircle edges,
+soft inter-layer shadow, 2.5D flat glass design,
+Apple macOS 26 Tahoe design language, 1024x1024, high detail
+
+### Recommended Parameters
+
+| Parameter | Value |
+|-----------|-------|
+| Inference Steps | 20–28 |
+| Guidance Scale | 3.5–5.0 |
+| LoRA Strength | 0.8–1.0 |
+| Resolution | 1024x1024 |
+
+---
+
+## Negative Prompt
+ugly, flat matte, no glass effect, blurry, low quality, old style, skeuomorphic,
+glossy blob, Vista style, Windows Aero, circular shape, two separate floating objects,
+hyper realistic CGI, neon glow, particle effects, photographic background,
+distorted symbol, warped, morphed, watermark, signature, border, frame
+
+---
+
+## What to Avoid
+
+- ❌ Circular icons — must be Apple squircle
+- ❌ Vista/Aero style glossy blobs
+- ❌ Hyper-realistic 3D CGI rendering
+- ❌ Skeuomorphic textures
+- ❌ Symbol distortion or warping
+- ❌ Two physically separated floating objects
+- ❌ Neon glow or particle effects
+
+---
+
+## What Works Well
+
+- ✅ Single clean symbol centered in the squircle
+- ✅ One dominant color family per icon
+- ✅ Frosted glass layering with subtle depth
+- ✅ Apple-style gradients (blue, teal, green, purple, amber)
+- ✅ Metallic or white symbols with subtle bevel
+- ✅ Soft specular highlights and inner glow
+
+---
+
+## License
+
+This LoRA is released under **Apache 2.0** — same as the base FLUX.2 Klein 4B model. Free for personal and commercial use.
+
+---
 
+## Credits
 
+- Base model: [FLUX.2 Klein 4B](https://huggingface.co/black-forest-labs/FLUX.2-klein-base-4B) by Black Forest Labs
+- Dataset: 542 macOS 26 Liquid Glass icons curated from [macosicons.com](https://macosicons.com)
+- Trained by: [Andy-ML-And-AI](https://huggingface.co/Andy-ML-And-AI)