---
base_model: stabilityai/stable-diffusion-3-medium-diffusers
library_name: diffusers
license: openrail++
tags:
- text-to-image
- diffusers-training
- diffusers
- lora
- sd3
- sd3-diffusers
- template:sd-lora
instance_prompt: A photo of T0K cube
widget:
- text: A photo of T0K cube on a shelf
  output:
    url: image_3.png
datasets:
- AdamLucek/cube-pics-dreambooth
---

# SD3 DreamBooth LoRA - AdamLucek/sd3-cube-dreambooth-lora-cube

**Reference Image**

<img src="https://cdn-uploads.huggingface.co/production/uploads/65ba68a15d2ef0a4b2c892b4/Fx9Py6PeZL6Jaj4yKk8dl.jpeg" width=400>

**Generated Images**

<img src="https://cdn-uploads.huggingface.co/production/uploads/65ba68a15d2ef0a4b2c892b4/UYl02nsBCddvQSB5-egxC.jpeg" width=400>

## Model description

These are DreamBooth LoRA weights for [stabilityai/stable-diffusion-3-medium-diffusers](https://huggingface.co/stabilityai/stable-diffusion-3-medium).

## Trigger words

You should use `A photo of T0K cube` to trigger the image generation.

## Download model

[Download the pytorch_lora_weights.safetensors LoRA](AdamLucek/sd3-cube-dreambooth-lora-cube/tree/main) in the Files & versions tab.

## Use it with the [🧨 diffusers library](https://github.com/huggingface/diffusers)

```py
from diffusers import AutoPipelineForText2Image
import torch
pipeline = AutoPipelineForText2Image.from_pretrained('stabilityai/stable-diffusion-3-medium-diffusers', torch_dtype=torch.float16).to('cuda')
pipeline.load_lora_weights('AdamLucek/sd3-cube-dreambooth-lora-2', weight_name='pytorch_lora_weights.safetensors')
image = pipeline('A photo of T0K cube on a shelf').images[0]
```

### Use it with UIs such as AUTOMATIC1111, Comfy UI, SD.Next, Invoke

- **LoRA**: download **[`diffusers_lora_weights.safetensors` here 💾](/AdamLucek/sd3-cube-dreambooth-lora-cube/blob/main/diffusers_lora_weights.safetensors)**.
    - Rename it and place it on your `models/Lora` folder.
    - On AUTOMATIC1111, load the LoRA by adding `<lora:your_new_name:1>` to your prompt. On ComfyUI just [load it as a regular LoRA](https://comfyanonymous.github.io/ComfyUI_examples/lora/).

For more details, including weighting, merging and fusing LoRAs, check the [documentation on loading LoRAs in diffusers](https://huggingface.co/docs/diffusers/main/en/using-diffusers/loading_adapters)

## License

Please adhere to the licensing terms as described [here](https://huggingface.co/stabilityai/stable-diffusion-3-medium/blob/main/LICENSE).

## Training details

The weights were trained using [DreamBooth](https://dreambooth.github.io/) with the [SD3 diffusers trainer](https://github.com/huggingface/diffusers/blob/main/examples/dreambooth/README_sd3.md).

Script
```
accelerate launch train_dreambooth_lora_sd3.py \
  --pretrained_model_name_or_path="stabilityai/stable-diffusion-3-medium-diffusers"  \
  --output_dir="lora-trained-sd3-t3" \
  --dataset_name="AdamLucek/cube-pics-dreambooth" \
  --mixed_precision="fp16" \
  --instance_prompt="A photo of T0K cube" \
  --resolution=1024 \
  --train_batch_size=16 \
  --learning_rate=1e-4 \
  --report_to="wandb" \
  --lr_scheduler="constant" \
  --lr_warmup_steps=0 \
  --max_train_steps=1000 \
  --validation_prompt="A photo of T0K cube on a shelf" \
  --validation_epochs=500 \
  --seed="420" \
  --rank=16 \
  --hub_model_id="sd3-cube-dreambooth-lora-2" \
  --train_text_encoder \
  --push_to_hub
```

Trained on a single H100