Create README.md

A hyper-realistic, cinematic Patreon cover image in 16:9, designed for the Investigative Journalism and Mystery niche.

On the LEFT side and center of the image, a tall, semi-transparent, ghostly corporate skyscraper made of holographic blue light, slightly fading and dissolving into digital particles. Across the middle of this ghost building, bright glowing digital letters clearly spell "RICERCA".

Far in the background, behind the ghost skyscraper, a second, solid government-style building made of dark glass and steel. Its windows and digital light panels are arranged so that from a distance they clearly form the word "MIT" in bright cyan lights, suggesting that the ghost company is secretly controlled from this building. Subtle glowing data streams and light connections run from the "MIT" building to the "RICERCA" ghost tower, symbolizing hidden control and surveillance.

On the RIGHT-BOTTOM corner of the frame, a smaller portrait of the author (based on the reference photo), about one quarter of the image width. He is standing slightly turned toward the ghost building, holding a digital tablet with investigation data, with a focused, investigative expression. Styled like an investigative journalist or analyst, not like a CEO. He must clearly look like the person exposing the ghost company, not the one managing it.

Massive, imposing 3D rendered typography is placed over the ghost skyscraper: the main title "HAYALET ŞİRKET" in a bold, urgent font, with "RICERCA" as a sleek metallic subtitle below it. At the very bottom of the image, elegantly centered and smaller, the name "Hasan CÜCÜK" in a signature-like script.

Lighting is moody and low-key, with high-contrast chiaroscuro, deep shadows, and cool cyan and teal highlights to enhance the mystery. Photorealistic textures, cinematic film grain, volumetric lighting, ray tracing, ultra-detailed, 8k resolution. --ar 16:9

README.md

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+---
+license: apache-2.0
+datasets:
+- openai/gsm8k
+language:
+- en
+metrics:
+- character
+base_model:
+- deepseek-ai/DeepSeek-V3.2
+new_version: Tongyi-MAI/Z-Image-Turbo
+pipeline_tag: token-classification
+library_name: adapter-transformers
+---