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artificialguybr/YarnwovenStyle-Redmond-WAN2-T2V-14B
YarnwovenStyle-Redmond-WAN2-T2V-14B is a text-to-video model from artificialguybr. Use it when you need video from a text prompt. It is set up for diffusers. The card lists the license as cc0-1.0.
Downloads · 30 days
195
37% of all-time downloads
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522
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.safetensors614 MB · 95%
From the Hugging Face model README
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.
The trigger phrase is Yarnwoven Style.
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:
[WAN2]YarnwovenStyle-Redmond_high_noise.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.
model input of the Load LoRA node.[WAN2]YarnwovenStyle-Redmond_high_noise.safetensors in the Load LoRA node.MODEL output of the LoRA node to your KSampler.strength_model as needed (0.8-1.0 is a good starting point).You can find more of my models, projects, and information on my official website:
Need high-quality prompts for image models and LLMs? Explore findgoodprompt.com.
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.
Discover more of my models, projects, and practical AI resources: