--- tags: - text-to-image - lora - diffusers - template:diffusion-lora widget: - text: '3D Sketchfab, A low-angle view of a brown military tank on a bright yellow background. The tank has a red number "88" on the side of it. There is a black X on the top of the tank. There are two black wheels on the bottom of it and a black stripe on the right side of the front of the left side of this tank.' output: url: images/S1.png - text: '3D Sketchfab, An eye-level view of a small red building with a green sign on the front of it. The building is surrounded by a small patch of brown dirt. There is a brown roof on the right side of the building and a red door on the left side. There are small green plants on the ground around the building. A black telephone pole is in the center of the image. A white dish is on the roof of the house.' output: url: images/S2.png - text: '3D Sketchfab, a vibrant orange box is adorned with a fish sculpture. The fish sculpture is a vibrant shade of blue, with a striped pattern on its body. It is positioned on a light purple background, with the fish head facing towards the right side of the frame. A knife with a black handle is positioned to the left of the fish sculpture, positioned on top of the box.' output: url: images/S3.png base_model: black-forest-labs/FLUX.1-dev instance_prompt: 3D Sketchfab license: creativeml-openrail-m --- # Castor-3D-Sketchfab-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-Sketchfab-Flux-LoRA** 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 | 23 & 1.8k | | Epoch | 10 | Save Every N Epochs | 1 | Labeling: florence2-en(natural language & English) Total Images Used for Training : 39 ## 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-Sketchfab-Flux-LoRA" trigger_word = "3D Sketchfab" # 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 🧨 You should use `3D Sketchfab` to trigger the image generation. ## Download model Weights for this model are available in Safetensors format. [Download](/prithivMLmods/Castor-3D-Sketchfab-Flux-LoRA/tree/main) them in the Files & versions tab.