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--- |
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tags: |
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- stable-diffusion |
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- text-to-image |
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- lora |
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- character |
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- diffusionpipe |
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--- |
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# Character LoRA Collection: Martin, Demetri, & Isaac |
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This repository contains a collection of three distinct character LoRAs. Each model was trained on 30 images generated by an LLM, using the **WAN2.1 14B** I2V model as a base. |
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Since all models are hosted in a single repository, please follow the usage instructions carefully to load the specific character you want. |
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## Character LoRAs Overview |
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### 1. Demetri |
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| Filename | Trigger Words | |
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| ------------------------ | --------------------------------- | |
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| `demetri_15.safetensors` | `#demerti, running and laughing` | |
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### 2. Martin |
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| Filename | Trigger Words | |
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| ---------------------- | ------------------------------ | |
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| `martin_15.safetensors`| `#martin, 1boy` | |
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<br> |
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### 3. Isaac |
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| Filename | Trigger Words | |
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| ---------------------- | ----------------------- | |
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| `isaac_15.safetensors` | `#isaac, laughing` | |
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<br> |
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--- |
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## How to Use with |
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Because this repository contains multiple LoRA files, you **must specify the `weight_name`** (the filename) you wish to load. |
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- Download the models you want and load into comfyUI |
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## Training Details |
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Base Model: The LoRAs were trained on top of the WAN2.1 14B parameter T2V model. |
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Training Library: The training was implemented using the diffusionpipe library. |
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Hyperparameters: For a detailed look at the training configuration and hyperparameters, please visit the training repository here. |
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## Dataset |
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- Each LoRA was trained on a dataset of 30 images that were generated using a Large Language Model to ensure a consistent character style. |
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- Sample Data Used for Training: |
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(This image is an example from the dataset to show the style and quality.) |
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## Demo Video |
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<video autoplay loop muted controls width="100%" src="https://huggingface.co/Bisre/character_loras/resolve/main/Isaac_laughing.mp4"></video> |
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