# Abstract Impasto V1 - Krea 2 🎨🖌️Welcome to Abstract Impasto V1, a specialized LoRA trained exclusively for Krea 2 (Raw) using the powerful <code>ai-toolkit</code>. This model was carefully crafted using a high-quality dataset of 84 curated abstract paintings. It is specifically designed to bypass the artificial, "plastic" AI look and inject genuine painterly texture, raw emotion, and high-end artistic expression into your generations. If you want your outputs to look like real oil canvas with thick, tangible paint layers, this is the tool for you.---### 🌟 Key Features &amp; Aesthetics* Thick Textures: Perfectly captures the essence of heavy impasto and dimensional paint.* Artistic Logic: Deeply understands abstract concepts, form distortion, and color theory.* Dynamic Motion: Brings the raw energy of Neo-Expressionism and Fauvism to your prompts.---### 🛠️ Recommended Settings &amp; UsageTo get the absolute best results from this LoRA, please follow these guidelines:* **LoRA Weight / Strength:** 0.8 to 1.5 (Sweet spot is *1.0 to 1.3** for that heavy, aggressive paint look).** Base Model: Krea 2 Raw (Works beautifully when generating with Krea 2 Turbo after training).#### 🔑 Trigger Words (Mix &amp; Match)To activate the full painterly effect, use a combination of these tokens in your prompt:&gt; <code>Abstract</code>, <code>impasto</code>, <code>painting</code>, <code>expressionism</code>, <code>expressionist</code>, <code>thick brushstrokes</code>, <code>fauvism</code>, <code>painterly strokes</code>, <code>aggressive brushstrokes</code>#### 🚫 Negative PromptsTo prevent the model from leaning back into generic AI styles, strictly include these in your negative prompt:&gt; <code>Realism</code>, <code>realistic</code>, <code>cinematic</code>, <code>high resolution</code>---### 📊 Training Technical Details (For Geeks)For transparency and reproducibility, here is the technical sheet of the training session:* Dataset Size: 84 high-resolution abstract artworks* Resolution: 1024 x 1024* Total Steps: 1500 (10 Checkpoints saved)* Train Batch Size: 1* Network Dim / Alpha: 32 / 32* Unet Learning Rate: 0.0001* Optimizer: AdamW 8bit* LR Scheduler: Constant---Feel free to share your artwork in the review section below! I'd love to see how you push the boundaries of abstract art with this model. 🚀

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