Castor-3D-Sketchfab-Flux-LoRA

Prompt

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.

Prompt

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.

Prompt

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.

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 them in the Files & versions tab.