--- tags: - text-to-image - lora - diffusers - template:diffusion-lora widget: - text: 'A 3D Portrait cartoon depiction of a woman with long dark brown hair and brown eyes stands in front of a window. She is wearing a gray turtleneck, with her left hand resting on her head. Her right hand is touching her face, adding a touch of warmth to the scene. The background is a stark white wall, with a window on the left side of the image.' output: url: images/1.webp - text: 'A 3D cartoon-style portrait of a man with short, wavy black hair and blue eyes, standing against a soft pastel-colored background. He is wearing a casual navy blue hoodie, with his right arm crossed over his chest, and his left hand raised to touch his chin thoughtfully. The background includes a large, arched window with light streaming through, creating a warm, cozy atmosphere' output: url: images/2.webp - text: 'A 3D cartoon-style portrait of a young woman with medium-length blonde hair and green eyes, sitting in a cozy cafe. She is wearing a light pink sweater and holding a warm cup of coffee close to her face with both hands, creating a peaceful vibe. The background shows a wooden table and a window with raindrops, giving a cozy, rainy-day feel' output: url: images/3.webp base_model: black-forest-labs/FLUX.1-dev instance_prompt: 3D Portrait license: creativeml-openrail-m --- # Castor-3D-Portrait-Flux-LoRA **The model is still in the training phase. This is not the final version and may contain artifacts and perform poorly in some cases.** ## Model description **prithivMLmods/Castor-3D-Portrait-Flux-LoRAA** Image Processing Parameters | Parameter | Value | Parameter | Value | |---------------------------|--------|---------------------------|--------| | LR Scheduler | constant | Noise Offset | 0.03 | | Optimizer | AdamW | Multires Noise Discount | 0.1 | | Network Dim | 64 | Multires Noise Iterations | 10 | | Network Alpha | 32 | Repeat & Steps | 20 & 2.5K | | Epoch | 15 | Save Every N Epochs | 1 | Labeling: florence2-en(natural language & English) Total Images Used for Training : 19 ## Setting Up ``` import torch from pipelines import DiffusionPipeline base_model = "black-forest-labs/FLUX.1-dev" pipe = DiffusionPipeline.from_pretrained(base_model, torch_dtype=torch.bfloat16) lora_repo = "prithivMLmods/Castor-3D-Portrait-Flux-LoRA" trigger_word = "3D Portrait" # Leave trigger_word blank if not used. pipe.load_lora_weights(lora_repo) device = torch.device("cuda") pipe.to(device) ``` ## App File Structure /project-root/ ├── .gitattributes ├── README.md ├── app.py ├── pythonproject.py ## Trigger words 🧨 > [!WARNING] > **Trigger words:** You should use `3D Portrait` to trigger the image generation. ## Download model Weights for this model are available in Safetensors format. [Download](/prithivMLmods/Castor-3D-Portrait-Flux-LoRA/tree/main) them in the Files & versions tab.