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README.md

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 ## Model Details
 
-Floral High Dynamic Range (LIGM):
-A Large Image Generation Model (LIGM) celebrated for its exceptional accuracy in generating high-quality, highly detailed scenes like never seen before! Derived from the groundbreaking Floral AI Model—renowned for its use in film generation—this model marks a milestone in image synthesis technology.
+**Floral High Dynamic Range (LIGM):**
+*A Large Image Generation Model (LIGM) celebrated for its exceptional accuracy in generating high-quality, highly detailed scenes like never seen before! Derived from the groundbreaking Floral AI Model—renowned for its use in film generation—this model marks a milestone in image synthesis technology.*
 
 Created by: Future Technologies Limited
 
 ### Model Description
 
-Floral High Dynamic Range (LIGM) is a state-of-the-art Large Image Generation Model (LIGM) that excels in generating images with stunning clarity, precision, and intricate detail. Known for its high accuracy in producing hyper-realistic and aesthetically rich images, this model sets a new standard in image synthesis. Whether it's landscapes, objects, or scenes, Floral HDR brings to life visuals that are vivid, lifelike, and unmatched in quality.
+*Floral High Dynamic Range (LIGM) is a state-of-the-art Large Image Generation Model (LIGM) that excels in generating images with stunning clarity, precision, and intricate detail. Known for its high accuracy in producing hyper-realistic and aesthetically rich images, this model sets a new standard in image synthesis. Whether it's landscapes, objects, or scenes, Floral HDR brings to life visuals that are vivid, lifelike, and unmatched in quality.*
 
-Originally derived from the Floral AI Model, which has been successfully applied in film generation, Floral HDR integrates advanced techniques to handle complex lighting, dynamic ranges, and detailed scene compositions. This makes it ideal for applications where high-resolution imagery and realistic scene generation are critical.
+*Originally derived from the Floral AI Model, which has been successfully applied in film generation, Floral HDR integrates advanced techniques to handle complex lighting, dynamic ranges, and detailed scene compositions. This makes it ideal for applications where high-resolution imagery and realistic scene generation are critical.*
+
+*Designed and developed by Future Technologies Limited, Floral HDR is a breakthrough achievement in AI-driven image generation, marking a significant leap in creative industries such as digital art, film, and immersive media. With the power to create images that push the boundaries of realism and artistic innovation, this model is a testament to Future Technologies Limited's commitment to shaping the future of AI.*
 
-Designed and developed by Future Technologies Limited, Floral HDR is a breakthrough achievement in AI-driven image generation, marking a significant leap in creative industries such as digital art, film, and immersive media. With the power to create images that push the boundaries of realism and artistic innovation, this model is a testament to Future Technologies Limited's commitment to shaping the future of AI.
-<!-- Provide a longer summary of what this model is. -->
 
 
 - **Developed by:** Future Technologies Limited (Lambda Go Technologies Limited)
@@ -46,59 +46,78 @@ Designed and developed by Future Technologies Limited, Floral HDR is a breakthro
 
 ## Uses
 
-Film and Animation Studios
+**Film and Animation Studios**
 
-Intended Users: Directors, animators, visual effects artists, and film production teams.
-Impact: This model empowers filmmakers to generate realistic scenes and environments with reduced reliance on traditional CGI and manual artistry. It provides faster production timelines and cost-effective solutions for creating complex visuals.
+- **Intended Users:** *Directors, animators, visual effects artists, and film production teams.*
+- **Impact:** *This model empowers filmmakers to generate realistic scenes and environments with reduced reliance on traditional CGI and manual artistry. It provides faster production timelines and cost-effective solutions for creating complex visuals.*
 
-Game Developers
+**Game Developers**
 
-Intended Users: Game designers, developers, and 3D artists.
-Impact: Floral HDR helps create highly detailed game worlds, characters, and assets. It allows developers to save time and resources, focusing on interactive elements while the model handles the visual richness of the environments. This can enhance game immersion and the overall player experience.
+- **Intended Users**: *Game designers, developers, and 3D artists.*
+- **Impact:** *Floral HDR helps create highly detailed game worlds, characters, and assets. It allows developers to save time and resources, focusing on interactive elements while the model handles the visual richness of the environments. This can enhance game immersion and the overall player experience.*
 
-Virtual Reality (VR) and Augmented Reality (AR) Creators
+**Virtual Reality (VR) and Augmented Reality (AR) Creators**
 
-Intended Users: VR/AR developers, interactive media creators, and immersive experience designers.
-Impact: Users can quickly generate lifelike virtual environments, helping VR and AR applications appear more realistic and convincing. This is crucial for applications ranging from training simulations to entertainment.
+- **Intended Users:** *VR/AR developers, interactive media creators, and immersive experience designers.*
+- **Impact:** *Users can quickly generate lifelike virtual environments, helping VR and AR applications appear more realistic and convincing. This is crucial for applications ranging from training simulations to entertainment.*
 
-Artists and Digital Designers
+**Artists and Digital Designers**
 
-Intended Users: Digital artists, illustrators, and graphic designers.
-Impact: Artists can use the model to generate high-quality visual elements, scenes, and concepts, pushing their creative boundaries. The model aids in visualizing complex artistic ideas in a faster, more efficient manner.
+- **Intended Users:** *Digital artists, illustrators, and graphic designers.*
+- **Impact:** *Artists can use the model to generate high-quality visual elements, scenes, and concepts, pushing their creative boundaries. The model aids in visualizing complex artistic ideas in a faster, more efficient manner.*
 
-Marketing and Advertising Agencies
+**Marketing and Advertising Agencies**
 
-Intended Users: Creative directors, marketers, advertising professionals, and content creators.
-Impact: Floral HDR enables agencies to create striking visuals for advertisements, product launches, and promotional materials. This helps businesses stand out in competitive markets by delivering high-impact imagery for campaigns.
+- **Intended Users:** *Creative directors, marketers, advertising professionals, and content creators.*
+- **Impact:** *Floral HDR enables agencies to create striking visuals for advertisements, product launches, and promotional materials. This helps businesses stand out in competitive markets by delivering high-impact imagery for campaigns.*
 
-Environmental and Scientific Researchers
+**Environmental and Scientific Researchers**
 
-Intended Users: Environmental scientists, researchers, and visual data analysts.
-Impact: The model can simulate realistic environments, aiding in research areas like climate studies, ecosystem modeling, and scientific visualizations. It provides an accessible tool for researchers to communicate complex concepts through imagery.
+- **Intended Users:** *Environmental scientists, researchers, and visual data analysts.*
+- **Impact:** *The model can simulate realistic environments, aiding in research areas like climate studies, ecosystem modeling, and scientific visualizations. It provides an accessible tool for researchers to communicate complex concepts through imagery.*
 
-Content Creators and Social Media Influencers
+**Content Creators and Social Media Influencers**
 
-Intended Users: Influencers, social media managers, and visual content creators.
-Impact: Social media professionals can create stunning and engaging content for their platforms with minimal effort. The model enhances the visual quality of posts, helping users build a more captivating online presence.
-<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+- **Intended Users:** *Influencers, social media managers, and visual content creators.*
+- **Impact:** *Social media professionals can create stunning and engaging content for their platforms with minimal effort. The model enhances the visual quality of posts, helping users build a more captivating online presence.*
+- 
 
-### Direct Use
+### Out-of-Scope Use
 
-<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+**Generation of Misleading or Harmful Content**
 
-[More Information Needed]
+- **Misuse:** The model should not be used to create fake, misleading, or harmful images intended to deceive individuals or manipulate public opinion (e.g., deepfakes, fake news visuals, or malicious propaganda).
+- **Why It's Out-of-Scope:** The model generates high-fidelity imagery, and when used irresponsibly, it could perpetuate misinformation or mislead viewers into believing manipulated content is authentic.
 
-### Downstream Use [optional]
+**Creating Offensive, Discriminatory, or Inappropriate Images**
 
-<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+- **Misuse:** Generating content that is offensive, harmful, discriminatory, or violates ethical norms (e.g., hate speech, explicit content, or violence).
+- **Why It's Out-of-Scope:** Floral HDR is designed to create visually rich and realistic images, and any generation that involves harmful themes goes against its ethical use, potentially causing harm or perpetuating negativity.
 
-[More Information Needed]
+**Overly Sensitive or Personal Data Generation**
 
-### Out-of-Scope Use
+- **Misuse:** Generating images that involve identifiable individuals, private data, or exploit sensitive personal situations.
+- **Why It's Out-of-Scope:** Using the model to simulate or generate sensitive, private, or identifiable personal content without consent violates privacy rights and can lead to harmful consequences for individuals involved.
 
-<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+**Incorporating in Systems for Autonomous Decision-Making**
 
-[More Information Needed]
+- **Misuse:** Using the model in automated decision-making systems that could impact individuals' lives (e.g., in high-stakes domains like criminal justice, finance, or healthcare) without proper human oversight.
+- **Why It's Out-of-Scope:** While the model generates high-quality visuals, it is not designed or trained for tasks requiring logical, contextual decision-making or ethical judgment, and may lead to errors or harmful outcomes when used in these contexts.
+
+**Large-Scale Commercial Use Without Licensing**
+
+- **Misuse:** Utilizing the model to produce images for large-scale commercial purposes without adhering to licensing and ethical guidelines, including the redistribution or resale of generated images as standalone assets.
+- **Why It's Out-of-Scope:** The model is not intended to replace artists or designers in creating commercial products at scale unless appropriate licensing and commercial usage policies are in place.
+
+**Generating Unethical or Inaccurate Scientific/Medical Content**
+
+- **Misuse:** Using the model to generate scientific, medical, or educational content that could lead to false or harmful interpretations of real-world data.
+- **Why It's Out-of-Scope:** The model’s capabilities are focused on creative and artistic image generation, not on generating scientifically or medically accurate content, which requires domain-specific expertise.
+
+**Real-Time Interactivity in Live Environments**
+
+- **Misuse:** Using the model for real-time, interactive image generation in live environments (e.g., live-streaming or real-time gaming) where speed and consistency are critical, without proper optimization.
+- **Why It's Out-of-Scope:** The model is designed for high-quality image generation but may not perform efficiently or effectively for live, real-time interactions, where real-time rendering and low latency are essential.
 
 ## Bias, Risks, and Limitations