artificialguybr

> Special Thanks: > This project was made possible thanks to generous sponsorship and GPU time provided by reDMOND Ai. > We are grateful for their support in training this LoRA. This LoRA creates mesmerizing transformations where two separate elements converge to form a heart shape. Watch as cream swirls in coffee, motorcycle tracks carve through mud, melting ice traces patterns on slate, and ink bleeds through paper - all coming together to create beautiful heart formations. Each transformation is captured with cinematic precision, emphasizing the fluid dynamics and organic motion of the materials. This version is specifically adapted for use with Wan-AI models, like `Wan2.2-T2V-A14B`. For best results, start your prompt with "Heartmorph" followed by a description of two elements that will converge to form a heart shape. The model will render these transformations with attention to the fluid dynamics and organic motion of the materials. To use this LoRA in ComfyUI, simply place the file in your `loras` directory: - Download `[WAN2.2]Heartmorph-Redmondhighnoise.safetensors` and place it in `ComfyUI/models/loras/` Ensure your ComfyUI environment is already configured to run Wan models. In your ComfyUI workflow, add a Load LoRA node after your base model loader. 1. Load your base Wan model. 2. Connect the output of the model loader to the `model` input of the Load LoRA node. 3. Select `[WAN2.2]Heartmorph-Redmondhighnoise.safetensors` in the Load LoRA node. 4. Connect the `MODEL` output of the LoRA node to your KSampler. 5. Adjust the `strengthmodel` as needed (0.8-1.0 is a good starting point). References - Base Model: Wan-AI/Wan2.2-T2V-A14B - ComfyUI: comfyanonymous/ComfyUI --- 🌐 Website You can find more of my models, projects, and information on my official website: - artificialguy.com 💖 Support My Work If you find this model useful, please consider supporting my work. It helps me cover server costs and dedicate more time to new open-source projects. - Patreon: Support on Patreon - Ko-fi: Buy me a Ko-fi - Buy Me a Coffee: Buy me a Coffee

> Special Thanks: > This project was made possible thanks to generous sponsorship and GPU time provided by reDMOND Ai. > We are grateful for their support in training this LoRA. This LoRA creates immersive, continuous "follow camera" shots that put viewers directly in the action. It generates dynamic footage where the camera follows subjects through various environments - from lighthouse staircases during storms to underwater cave explorations, from high-speed motorcycle rides across salt flats to peaceful library cart journeys. The style creates a sense of presence and movement that makes viewers feel like they're right there with the subject. This version is specifically adapted for use with Wan-AI models, like `Wan2.2-T2V-A14B`. For best results, start your prompt with "FollowCam" followed by a description of a continuous tracking shot following a subject through an environment. The model will render these scenes with an immersive, action-oriented perspective. To use this LoRA in ComfyUI, simply place the file in your `loras` directory: - Download `[WAN2.2]FollowcamRedmondhighnoise.safetensors` and place it in `ComfyUI/models/loras/` Ensure your ComfyUI environment is already configured to run Wan models. In your ComfyUI workflow, add a Load LoRA node after your base model loader. 1. Load your base Wan model. 2. Connect the output of the model loader to the `model` input of the Load LoRA node. 3. Select `[WAN2.2]FollowcamRedmondhighnoise.safetensors` in the Load LoRA node. 4. Connect the `MODEL` output of the LoRA node to your KSampler. 5. Adjust the `strengthmodel` as needed (0.8-1.0 is a good starting point). References - Base Model: Wan-AI/Wan2.2-T2V-A14B - ComfyUI: comfyanonymous/ComfyUI --- 🌐 Website You can find more of my models, projects, and information on my official website: - artificialguy.com 💖 Support My Work If you find this model useful, please consider supporting my work. It helps me cover server costs and dedicate more time to new open-source projects. - Patreon: Support on Patreon - Ko-fi: Buy me a Ko-fi - Buy Me a Coffee: Buy me a Coffee

> Special Thanks: > This project was made possible thanks to generous sponsorship and GPU time provided by reDMOND Ai. > We are grateful for their support in training this LoRA. This LoRA specializes in creating dynamic split screen compositions that juxtapose contrasting or complementary scenes. It can create various split screen configurations including side-by-side reflections, top-bottom flat reflections, and seamless horizontal or vertical divisions. The model excels at finding visual connections between seemingly unrelated subjects, creating thought-provoking juxtapositions that tell a story through visual contrast. This version is specifically adapted for use with Wan-AI models, like `Wan2.2-T2V-A14B`. For best results, start your prompt with "Split Screen" followed by a description of the two scenes you want to juxtapose and how they should be arranged (side-by-side, top-bottom, etc.). The model will create a seamless composition that highlights the relationship between the two scenes. To use this LoRA in ComfyUI, simply place the file in your `loras` directory: - Download `[WAN2.2]SplitScreenRedmondhighnoise.safetensors` and place it in `ComfyUI/models/loras/` Ensure your ComfyUI environment is already configured to run Wan models. In your ComfyUI workflow, add a Load LoRA node after your base model loader. 1. Load your base Wan model. 2. Connect the output of the model loader to the `model` input of the Load LoRA node. 3. Select `[WAN2.2]SplitScreenRedmondhighnoise.safetensors` in the Load LoRA node. 4. Connect the `MODEL` output of the LoRA node to your KSampler. 5. Adjust the `strengthmodel` as needed (0.8-1.0 is a good starting point). References - Base Model: Wan-AI/Wan2.2-T2V-A14B - ComfyUI: comfyanonymous/ComfyUI --- 🌐 Website You can find more of my models, projects, and information on my official website: - artificialguy.com 💖 Support My Work If you find this model useful, please consider supporting my work. It helps me cover server costs and dedicate more time to new open-source projects. - Patreon: Support on Patreon - Ko-fi: Buy me a Ko-fi - Buy Me a Coffee: Buy me a Coffee

> Special Thanks: > This project was made possible thanks to generous sponsorship and GPU time provided by reDMOND Ai. > We are grateful for their support in training this LoRA. This LoRA captures the contemplative, surreal experience of looking through windows while traveling. Each scene presents a view from buses, trains, planes, and trams that reveals extraordinary moments beyond ordinary reality - from floating islands above clouds to orchestras performing in wheat fields, from breathing forests to submerged cities. The style combines cinematic framing with surreal elements, creating dreamlike journeys that transform the mundane act of looking out a window into a portal to other worlds. This version is specifically adapted for use with Wan-AI models, like `Wan2.2-T2V-A14B`. For best results, start your prompt with "Window Seat" followed by a description of a view through a vehicle window that reveals something surreal or extraordinary. The model will render these scenes with a cinematic, contemplative quality. To use this LoRA in ComfyUI, simply place the file in your `loras` directory: - Download `[WAN2.2]WindowSeatRedmondhighnoise.safetensors` and place it in `ComfyUI/models/loras/` Ensure your ComfyUI environment is already configured to run Wan models. In your ComfyUI workflow, add a Load LoRA node after your base model loader. 1. Load your base Wan model. 2. Connect the output of the model loader to the `model` input of the Load LoRA node. 3. Select `[WAN2.2]WindowSeatRedmondhighnoise.safetensors` in the Load LoRA node. 4. Connect the `MODEL` output of the LoRA node to your KSampler. 5. Adjust the `strengthmodel` as needed (0.8-1.0 is a good starting point). References - Base Model: Wan-AI/Wan2.2-T2V-A14B - ComfyUI: comfyanonymous/ComfyUI --- 🌐 Website You can find more of my models, projects, and information on my official website: - artificialguy.com 💖 Support My Work If you find this model useful, please consider supporting my work. It helps me cover server costs and dedicate more time to new open-source projects. - Patreon: Support on Patreon - Ko-fi: Buy me a Ko-fi - Buy Me a Coffee: Buy me a Coffee

> Special Thanks: > This project was made possible thanks to generous sponsorship and GPU time provided by reDMOND Ai. > We are grateful for their support in training this LoRA. This LoRA captures Santa Claus during his off-season - the other 364 days of the year when he's not delivering presents. See Santa in everyday situations: shopping at hardware stores, waiting at bus stops, doing yoga, bowling, and even getting fast food at drive-thrus. All scenes are captured with a cinematic 16mm film aesthetic that adds warmth and nostalgia to these mundane moments. This version is specifically adapted for use with Wan-AI models, like `Wan2.2-T2V-A14B`. For best results, start your prompt with "Off-Season Santa" followed by a description of Santa in an everyday, non-holiday situation. The model will render these scenes with a cinematic 16mm film quality. To use this LoRA in ComfyUI, simply place the file in your `loras` directory: - Download `[WAN2.2]OffseasonsantaRedmondlownoise.safetensors` and place it in `ComfyUI/models/loras/` Ensure your ComfyUI environment is already configured to run Wan models. In your ComfyUI workflow, add a Load LoRA node after your base model loader. 1. Load your base Wan model. 2. Connect the output of the model loader to the `model` input of the Load LoRA node. 3. Select `[WAN2.2]OffseasonsantaRedmondlownoise.safetensors` in the Load LoRA node. 4. Connect the `MODEL` output of the LoRA node to your KSampler. 5. Adjust the `strengthmodel` as needed (0.8-1.0 is a good starting point). References - Base Model: Wan-AI/Wan2.2-T2V-A14B - ComfyUI: comfyanonymous/ComfyUI --- 🌐 Website You can find more of my models, projects, and information on my official website: - artificialguy.com 💖 Support My Work If you find this model useful, please consider supporting my work. It helps me cover server costs and dedicate more time to new open-source projects. - Patreon: Support on Patreon - Ko-fi: Buy me a Ko-fi - Buy Me a Coffee: Buy me a Coffee

> Special Thanks: > This project was made possible thanks to generous sponsorship and GPU time provided by reDMOND Ai. > We are grateful for their support in training this LoRA. This LoRA creates stunning thermal vision videos that visualize the world through heat signatures. From the intense heat of a motorcycle engine to the cool blues of a night sky, Spectramatic transforms ordinary scenes into extraordinary thermal landscapes. The model captures the full spectrum of thermal colors - from deep purples and blues for cold elements to brilliant whites and yellows for extreme heat. This version is specifically adapted for use with Wan-AI models, like `Wan2.2-T2V-A14B`. For best results, start your prompt with "Spectramatic" followed by a description of a scene with elements of varying temperatures. The model will render these scenes with a realistic thermal vision aesthetic. To use this LoRA in ComfyUI, simply place the file in your `loras` directory: - Download `[WAN2.2]SpectramaticRedmond.safetensors` and place it in `ComfyUI/models/loras/` Ensure your ComfyUI environment is already configured to run Wan models. In your ComfyUI workflow, add a Load LoRA node after your base model loader. 1. Load your base Wan model. 2. Connect the output of the model loader to the `model` input of the Load LoRA node. 3. Select `[WAN2.2]SpectramaticRedmond.safetensors` in the Load LoRA node. 4. Connect the `MODEL` output of the LoRA node to your KSampler. 5. Adjust the `strengthmodel` as needed (0.8-1.0 is a good starting point). References - Base Model: Wan-AI/Wan2.2-T2V-A14B - ComfyUI: comfyanonymous/ComfyUI --- 🌐 Website You can find more of my models, projects, and information on my official website: - artificialguy.com 💖 Support My Work If you find this model useful, please consider supporting my work. It helps me cover server costs and dedicate more time to new open-source projects. - Patreon: Support on Patreon - Ko-fi: Buy me a Ko-fi - Buy Me a Coffee: Buy me a Coffee

> Special Thanks: > This project was made possible thanks to generous sponsorship and GPU time provided by reDMOND Ai. > We are grateful for their support in training this LoRA. This LoRA creates a charming yarnwoven aesthetic where everything in the scene appears to be made of yarn, with a stop motion animation style. The model transforms any scene into a cozy, tactile world where characters, objects, and environments all have the texture and appearance of handcrafted yarn creations. This version is specifically adapted for use with Wan-AI models, like `Wan2.2-T2V-A14B`. For best results, start your prompt with "Yarnwoven Style." followed by a description of a scene. The model will transform it into a yarnwoven world with stop motion animation characteristics. To use this LoRA in ComfyUI, simply place the file in your `loras` directory: - Download `[WAN2]YarnwovenStyle-Redmondhighnoise.safetensors` and place it in `ComfyUI/models/loras/` Ensure your ComfyUI environment is already configured to run Wan models. In your ComfyUI workflow, add a Load LoRA node after your base model loader. 1. Load your base Wan model. 2. Connect the output of the model loader to the `model` input of the Load LoRA node. 3. Select `[WAN2]YarnwovenStyle-Redmondhighnoise.safetensors` in the Load LoRA node. 4. Connect the `MODEL` output of the LoRA node to your KSampler. 5. Adjust the `strengthmodel` as needed (0.8-1.0 is a good starting point). References - Base Model: Wan-AI/Wan2.2-T2V-A14B - ComfyUI: comfyanonymous/ComfyUI --- 🌐 Website You can find more of my models, projects, and information on my official website: - artificialguy.com 💖 Support My Work If you find this model useful, please consider supporting my work. It helps me cover server costs and dedicate more time to new open-source projects. - Patreon: Support on Patreon - Ko-fi: Buy me a Ko-fi - Buy Me a Coffee: Buy me a Coffee