Update README.md

README.md

@@ -79,3 +79,46 @@ widget:
 license: apache-2.0
 ---
 <Gallery />
+
+# ProteusV0.5
+ProteusV0.5 is the latest full release of my AI image generation model, built as a sophisticated enhancement over OpenDalleV1.1. This version brings significant improvements in photorealism, prompt comprehension, and stylistic capabilities across various domains.
+About Proteus
+Proteus leverages and enhances the core functionalities of OpenDalleV1.1 to deliver superior outcomes. Key areas of advancement include heightened responsiveness to prompts and augmented creative capacities. The model has been fine-tuned using a carefully curated dataset of copyright-free stock images and high-quality AI-generated image pairs.
+
+# Key Features of ProteusV0.5
+
+Significantly trained custom CLIP model for enhanced prompt understanding
+Trained on hand-picked photorealistic images for improved realism
+Enhanced stylistic capabilities across various domains, including surrealism, anime, and cartoon-style visualizations
+Full release with refined performance and stability
+
+# Proteus's Background
+
+Proteus serves as a sophisticated enhancement over OpenDalleV1.1, leveraging its core functionalities to deliver superior outcomes. Key areas of advancement include heightened responsiveness to prompts and augmented creative capacities. To achieve this, it was fine-tuned using approximately 220,000 GPTV captioned images from copyright-free stock images (with some anime included), which were then normalized. Additionally, DPO (Direct Preference Optimization) was employed through a collection of 10,000 carefully selected high-quality, AI-generated image pairs.
+In pursuit of optimal performance, numerous LORA (Low-Rank Adaptation) models are trained independently before being selectively incorporated into the principal model via dynamic application methods. These techniques involve targeting particular segments within the model while avoiding interference with other areas during the learning phase. Consequently, Proteus exhibits marked improvements in portraying intricate facial characteristics and lifelike skin textures, all while sustaining commendable proficiency across various aesthetic domains, notably surrealism, anime, and cartoon-style visualizations.
+
+# Training Details
+
+Total training dataset: Now over 400,000 images
+Initial training: ~220,000 GPTV captioned images from copyright-free stock images (including some anime)
+Additional training: Hand-picked photorealistic images
+Fine-tuning: Direct Preference Optimization (DPO) with 10,000 carefully selected high-quality, AI-generated image pairs
+LORA (Low-Rank Adaptation) models trained independently and selectively incorporated
+
+# Improvements
+
+Enhanced portrayal of intricate facial characteristics and lifelike skin textures
+Improved proficiency in surrealism, anime, and cartoon-style visualizations
+Superior prompt comprehension due to custom-trained CLIP
+Expanded dataset leading to more diverse and accurate outputs
+Refined balance between creativity and accuracy
+
+# Recommended Settings
+
+CFG Scale: 7
+Steps: 25 - 50
+Sampler: DPM++ 2M SDE
+Scheduler: Karras
+Resolution: 1024x1024
+
+The custom-trained CLIP is a significant point of differentiation, as very few models incorporate this feature. Enjoy creating with the fully released ProteusV0.5!