Update README.md

README.md

@@ -8,11 +8,29 @@ tags:
 - art
 - artistic
 - diffusers
+- protogen
 inference: true
 license: creativeml-openrail-m
 ---
+<center><img src="https://huggingface.co/darkstorm2150/Protogen_Nova_Official_Release/resolve/main/Protogen%20Nova-512.png" style="height:400px; border-radius: 7%; border: 10px solid #663380; padding-top:0px;" span title="Protogen Nova Raw Output with a bladerunner 2049 embedding ;)"></center>
+UNDER CONSTRUCTION...
 
-# Protogen_x2.2 by [darkstorm2150](https://instagram.com/officialvictorespinoza)
+
+<center><h1>Protogen v2.2</h1></center>
+<center><p><em>Research Model by <a href="https://instagram.com/officialvictorespinoza">darkstorm2150</a></em></p></center>
+</div>
+
+## Table of contents
+* [General info](#general-info)
+* [Granular Adaptive Learning](#granular-adaptive-learning)
+* [Setup](#setup)
+* [Space](#space)
+* [CompVis](#compvis)
+* [Diffusers](#🧨-diffusers)
+* [Checkpoint Merging Data Reference](#checkpoint-merging-data-reference)
+* [License](#license)
+
+## General info
 
 Protogen was warm-started with [Stable Diffusion v1-5](https://huggingface.co/runwayml/stable-diffusion-v1-5) and fine-tuned on a large amount 
 of data from large datasets new and trending on civitai.com.
@@ -21,19 +39,27 @@ You can enforce camera capture by using the prompt with "modelshoot style".
 
 It should also be very "dreambooth-able", being able to generate high fidelity faces with a little amount of steps (see [dreambooth](https://github.com/huggingface/diffusers/tree/main/examples/dreambooth)).
 
-## Model Weights
+## Granular Adaptive Learning
+
+Granular adaptive learning is a machine learning technique that focuses on adjusting the learning process at a fine-grained level, rather than making global adjustments to the model. This approach allows the model to adapt to specific patterns or features in the data, rather than making assumptions based on general trends.
 
-![alt text](https://huggingface.co/darkstorm2150/Protogen_v2.2_Official_Release/resolve/main/Model%20Weights.png)
+Granular adaptive learning can be achieved through techniques such as active learning, which allows the model to select the data it wants to learn from, or through the use of reinforcement learning, where the model receives feedback on its performance and adapts based on that feedback. It can also be achieved through techniques such as online learning where the model adjust itself as it receives more data.
+
+Granular adaptive learning is often used in situations where the data is highly diverse or non-stationary and where the model needs to adapt quickly to changing patterns. This is often the case in dynamic environments such as robotics, financial markets, and natural language processing.
+
+## Setup
+To run this model, download the model.ckpt and install it in your "stable-diffusion-webui\models\Stable-diffusion" directory
 
 ## Space
 
 We support a [Gradio](https://github.com/gradio-app/gradio) Web UI to run dreamlike-diffusion-1.0:
 [![Open In Spaces](https://camo.githubusercontent.com/00380c35e60d6b04be65d3d94a58332be5cc93779f630bcdfc18ab9a3a7d3388/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f25463025394625413425393725323048756767696e67253230466163652d5370616365732d626c7565)](https://huggingface.co/spaces/darkstorm2150/Stable-Diffusion-Protogen-webui)
-### CompVis
 
-[Download Protogen_V2.2.ckpt) (5.98GB)](https://huggingface.co/darkstorm2150/Protogen_v2.2_Official_Release/blob/main/Protogen_V2.2.ckpt)
+## CompVis
+
+[Download Protogen_v2.2.ckpt) (5.98GB)](https://huggingface.co/darkstorm2150/Protogen_v2.2_Official_Release/blob/main/Protogen_V2.2.ckpt)
 
-### 🧨 Diffusers
+## 🧨 Diffusers
 
 This model can be used just like any other Stable Diffusion model. For more information,
 please have a look at the [Stable Diffusion Pipeline](https://huggingface.co/docs/diffusers/api/pipelines/stable_diffusion).
@@ -57,4 +83,262 @@ pipe = pipe.to("cuda")
 image = pipe(prompt, num_inference_steps=25).images[0]
 
 image.save("./result.jpg")
-```
+```
+
+## - PENDING DATA FOR MERGE, RPGv2 not accounted..
+## Checkpoint Merging Data Reference
+
+<style>
+.myTable {
+border-collapse:collapse; 
+}
+.myTable th { 
+background-color:#663380;
+color:white; 
+}
+.myTable td, .myTable th { 
+padding:5px;
+border:1px solid #663380; 
+}
+</style>
+<table class="myTable">
+<tr>
+<th>Models</th>
+<th>Protogen v2.2 (Anime)</th>
+<th>Protogen x3.4 (Photo)</th>
+<th>Protogen x5.3 (Photo)</th>
+<th>Protogen x5.8 (Sci-fi/Anime)</th>
+<th>Protogen x5.9 (Dragon)</th>
+<th>Protogen x7.4 (Eclipse)</th>
+<th>Protogen x8.0 (Nova)</th>
+<th>Protogen x8.6 (Infinity)</th>
+</tr>
+<tr>
+<td>seek_art_mega v1</td>
+<td>52.50%</td>
+<td>42.76%</td>
+<td>42.63%</td>
+<td></td>
+<td></td>
+<td></td>
+<td>25.21%</td>
+<td>14.83%</td>
+</tr>
+<tr>
+<td>modelshoot v1</td>
+<td>30.00%</td>
+<td>24.44%</td>
+<td>24.37%</td>
+<td>2.56%</td>
+<td>2.05%</td>
+<td>3.48%</td>
+<td>22.91%</td>
+<td>13.48%</td>
+</tr>
+<tr>
+<td>elldreth v1</td>
+<td>12.64%</td>
+<td>10.30%</td>
+<td>10.23%</td>
+<td></td>
+<td></td>
+<td></td>
+<td>6.06%</td>
+<td>3.57%</td>
+</tr>
+<tr>
+<td>photoreal v2</td>
+<td></td>
+<td></td>
+<td>10.00%</td>
+<td>48.64%</td>
+<td>38.91%</td>
+<td>66.33%</td>
+<td>20.49%</td>
+<td>12.06%</td>
+</tr>
+<tr>
+<td>analogdiffusion v1</td>
+<td></td>
+<td>4.75%</td>
+<td>4.50%</td>
+<td></td>
+<td></td>
+<td></td>
+<td>1.75%</td>
+<td>1.03%</td>
+</tr>
+<tr>
+<td>openjourney v2</td>
+<td></td>
+<td>4.51%</td>
+<td>4.28%</td>
+<td></td>
+<td></td>
+<td>4.75%</td>
+<td>2.26%</td>
+<td>1.33%</td>
+</tr>
+<tr>
+<td>hassan1.4</td>
+<td>2.63%</td>
+<td>2.14%</td>
+<td>2.13%</td>
+<td></td>
+<td></td>
+<td></td>
+<td>1.26%</td>
+<td>0.74%</td>
+</tr>
+<tr>
+<td>f222</td>
+<td>2.23%</td>
+<td>1.82%</td>
+<td>1.81%</td>
+<td></td>
+<td></td>
+<td></td>
+<td>1.07%</td>
+<td>0.63%</td>
+</tr>
+<tr>
+<td>hasdx</td>
+<td></td>
+<td></td>
+<td></td>
+<td>20.00%</td>
+<td>16.00%</td>
+<td>4.07%</td>
+<td>5.01%</td>
+<td>2.95%</td>
+</tr>
+<tr>
+<td>moistmix</td>
+<td></td>
+<td></td>
+<td></td>
+<td>16.00%</td>
+<td>12.80%</td>
+<td>3.86%</td>
+<td>4.08%</td>
+<td>2.40%</td>
+</tr>
+<tr>
+<td>roboDiffusion v1</td>
+<td></td>
+<td>4.29%</td>
+<td></td>
+<td>12.80%</td>
+<td>10.24%</td>
+<td>3.67%</td>
+<td>4.41%</td>
+<td>2.60%</td>
+</tr>
+<tr>
+<td>RPG v3</td>
+<td></td>
+<td>5.00%</td>
+<td></td>
+<td></td>
+<td>20.00%</td>
+<td>4.29%</td>
+<td>4.29%</td>
+<td>2.52%</td>
+</tr>
+<tr>
+<td>anything&everything</td>
+<td></td>
+<td></td>
+<td></td>
+<td></td>
+<td></td>
+<td>4.51%</td>
+<td>0.56%</td>
+<td>0.33%</td>
+</tr>
+<tr>
+<td>dreamlikediff v1</td>
+<td></td>
+<td></td>
+<td></td>
+<td></td>
+<td></td>
+<td>5.0%</td>
+<td>0.63%</td>
+<td>0.37%</td>
+</tr>
+<tr>
+<td>sci-fidiff v1</td>
+<td></td>
+<td></td>
+<td></td>
+<td></td>
+<td></td>
+<td></td>
+<td></td>
+<td>3.10%</td>
+</tr>
+<tr>
+<td>synthwavepunk v2</td>
+<td></td>
+<td></td>
+<td></td>
+<td></td>
+<td></td>
+<td></td>
+<td></td>
+<td>3.26%</td>
+</tr>
+<tr>
+<td>mashupv2</td>
+<td></td>
+<td></td>
+<td></td>
+<td></td>
+<td></td>
+<td></td>
+<td></td>
+<td>11.51%</td>
+</tr>
+<tr>
+<td>dreamshaper 252</td>
+<td></td>
+<td></td>
+<td></td>
+<td></td>
+<td></td>
+<td></td>
+<td></td>
+<td>4.04%</td>
+</tr>
+<tr>
+<td>comicdiff v2</td>
+<td></td>
+<td></td>
+<td></td>
+<td></td>
+<td></td>
+<td></td>
+<td></td>
+<td>4.25%</td>
+</tr>
+<tr>
+<td>artEros</td>
+<td></td>
+<td></td>
+<td></td>
+<td></td>
+<td></td>
+<td></td>
+<td></td>
+<td>15.00%</td>
+</tr>
+</table>
+
+## License
+
+By downloading you agree to the terms of these licenses
+
+<a href="https://huggingface.co/spaces/CompVis/stable-diffusion-license">CreativeML Open RAIL-M</a>
+
+<a href="https://huggingface.co/coreco/seek.art_MEGA/blob/main/LICENSE.txt">Seek Art Mega License</a>