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@@ -20,31 +20,31 @@ metrics:
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  - IS
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- high quality, masterpiece, detailed, 8K, artist:laxhar , futuristic cityscape at night, towering skyscrapers with glowing neon signs, rain-soaked streets reflecting vibrant colors, lone figure in a sleek black coat walking under a glowing umbrella, dynamic pose, wind-swept hair, cinematic lighting, cool blue and purple tones, hyper-detailed, sharp focus, film grain, chromatic aberration, gritty texture, limited palette, high contrast
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  parameters:
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  negative_prompt: >-
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  lowres, worst quality, low quality, bad anatomy, bad hands, 4koma, comic, greyscale, censored, jpeg artifacts, overly saturated, overly vivid, (multiple views:1.1), (bad:1.05), fewer, extra, missing, worst quality, jpeg artifacts, bad quality, watermark, unfinished, displeasing, sepia, sketch, flat color, signature, artistic error, username, scan, (blurry, lowres, worst quality, (low quality:1.1), ugly, (bad anatomy:1.05), artist name, (patreon username:1.2)
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  output:
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- url: stand_on_ripplewater.jpeg
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  ---
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  # MIDNIGHT_NAI-XL_vPredV1
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  **Model Type:** Diffusion-based text-to-image generative model
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- **Base Model:** SDXL 1.0/Laxhar/noobai-XL-Vpred-1.0
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  **License:** [CreativeML Open RAIL++-M](https://github.com/CompVis/stable-diffusion/blob/main/LICENSE)
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  ## Model Description
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- MIDNIGHT_NAI-XL_vPredV1 is a fine-tuned version of the NoobAI-XL (NAI-XL) model, optimized for enhanced anatomical accuracy, compositional rationality, and flexible style combinations. This model is designed to generate high-quality images with vibrant colors while minimizing overexposure.
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  ## Key Features
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- - **High-Quality Fine-Tuning:** Utilizes meticulously curated datasets to improve anatomical precision and composition.
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- - **Flexible Style Combinations:** Offers robust performance when overlaying multiple artistic styles.
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- - **Enhanced Quality Keywords:** Increased effectiveness of quality-related prompts.
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  - **Balanced Color Output:** Produces vibrant images with reduced risk of overexposure.
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  ## Usage Recommendations
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  - **Dynamic CFG Plugin:** To prevent oversaturation or dull images, it's recommended to use the Dynamic CFG & CFG Rescale plugin with a configuration setting around 0.2.
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  - **Sampling Methods:** While compatible with most sampling methods, V-prediction models do not support the Karras series. For optimal results, use Euler or DDIM sampling methods.
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  ## How to Use
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  ### Method I: reForge
 
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+ high quality, masterpiece, detailed, 8K, artist:laxhar, futuristic cityscape at night, towering skyscrapers with glowing neon signs, rain-soaked streets reflecting vibrant colors, lone figure in a sleek black coat walking under a glowing umbrella, dynamic pose, wind-swept hair, cinematic lighting, cool blue and purple tones, hyper-detailed, sharp focus, film grain, chromatic aberration, gritty texture, limited palette, high contrast
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  parameters:
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  negative_prompt: >-
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  lowres, worst quality, low quality, bad anatomy, bad hands, 4koma, comic, greyscale, censored, jpeg artifacts, overly saturated, overly vivid, (multiple views:1.1), (bad:1.05), fewer, extra, missing, worst quality, jpeg artifacts, bad quality, watermark, unfinished, displeasing, sepia, sketch, flat color, signature, artistic error, username, scan, (blurry, lowres, worst quality, (low quality:1.1), ugly, (bad anatomy:1.05), artist name, (patreon username:1.2)
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  output:
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+ url: stand_on_ripplewater.png
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  ---
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  # MIDNIGHT_NAI-XL_vPredV1
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  **Model Type:** Diffusion-based text-to-image generative model
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+ **Base Model:** SDXL 1.0
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  **License:** [CreativeML Open RAIL++-M](https://github.com/CompVis/stable-diffusion/blob/main/LICENSE)
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  ## Model Description
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+ MIDNIGHT_NAI-XL_vPredV1 is a specialized fine-tuning of the NoobAI-XL (NAI-XL) model, designed to enhance anatomical precision, compositional coherence, and versatile style integration. This model excels in generating high-quality images with vibrant colors while minimizing overexposure.
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  ## Key Features
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+ - **Enhanced Fine-Tuning:** Utilizes carefully curated datasets to improve anatomical accuracy and composition.
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+ - **Versatile Style Integration:** Performs robustly when combining multiple artistic styles.
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+ - **Optimized Quality Keywords:** Increases the effectiveness of quality-related prompts.
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  - **Balanced Color Output:** Produces vibrant images with reduced risk of overexposure.
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  ## Usage Recommendations
 
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  - **Dynamic CFG Plugin:** To prevent oversaturation or dull images, it's recommended to use the Dynamic CFG & CFG Rescale plugin with a configuration setting around 0.2.
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  - **Sampling Methods:** While compatible with most sampling methods, V-prediction models do not support the Karras series. For optimal results, use Euler or DDIM sampling methods.
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+ ## Custom Workflow: MIDNIGHT1111_Chasm
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+ For an optimized generation process, consider using the custom workflow `MIDNIGHT1111_Chasm 2025-02-02.json`. This workflow is tailored to leverage the strengths of the MIDNIGHT_NAI-XL_vPredV1 model, providing a streamlined and efficient image generation pipeline.
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+ ![MIDNIGHT1111_Chasm Workflow](MIDNIGHT1111_Chasm Workflow.png)
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+ *Note: The above image is a preview of the `MIDNIGHT1111_Chasm` workflow.*
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+ ## Trigger Word Lists
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+ To enhance the model's performance and specificity, trigger word lists are included in the files:
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+ - `danbooru_artist_webui.csv`
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+ - `danbooru_character_webui.csv`
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+ - `e621_artist_webui.csv`
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+ - `e621_character_webui.csv`
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+ These lists provide recognized tags for various artists and characters, facilitating more accurate and tailored image generation.
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+
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  ## How to Use
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  ### Method I: reForge