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--- |
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base_model: stabilityai/stable-diffusion-3-medium-diffusers |
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library_name: diffusers |
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license: openrail++ |
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tags: |
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- text-to-image |
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- diffusers-training |
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- diffusers |
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- lora |
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- sd3 |
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- sd3-diffusers |
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- template:sd-lora |
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instance_prompt: A photo of T0K cube |
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widget: |
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- text: A photo of T0K cube on a shelf |
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output: |
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url: image_3.png |
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datasets: |
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- AdamLucek/cube-pics-dreambooth |
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--- |
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# SD3 DreamBooth LoRA - AdamLucek/sd3-cube-dreambooth-lora-cube |
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**Reference Image** |
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<img src="https://cdn-uploads.huggingface.co/production/uploads/65ba68a15d2ef0a4b2c892b4/Fx9Py6PeZL6Jaj4yKk8dl.jpeg" width=400> |
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**Generated Images** |
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<img src="https://cdn-uploads.huggingface.co/production/uploads/65ba68a15d2ef0a4b2c892b4/UYl02nsBCddvQSB5-egxC.jpeg" width=400> |
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## Model description |
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These are DreamBooth LoRA weights for [stabilityai/stable-diffusion-3-medium-diffusers](https://huggingface.co/stabilityai/stable-diffusion-3-medium). |
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## Trigger words |
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You should use `A photo of T0K cube` to trigger the image generation. |
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## Download model |
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[Download the pytorch_lora_weights.safetensors LoRA](AdamLucek/sd3-cube-dreambooth-lora-cube/tree/main) in the Files & versions tab. |
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## Use it with the [🧨 diffusers library](https://github.com/huggingface/diffusers) |
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```py |
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from diffusers import AutoPipelineForText2Image |
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import torch |
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pipeline = AutoPipelineForText2Image.from_pretrained('stabilityai/stable-diffusion-3-medium-diffusers', torch_dtype=torch.float16).to('cuda') |
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pipeline.load_lora_weights('AdamLucek/sd3-cube-dreambooth-lora-2', weight_name='pytorch_lora_weights.safetensors') |
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image = pipeline('A photo of T0K cube on a shelf').images[0] |
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``` |
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### Use it with UIs such as AUTOMATIC1111, Comfy UI, SD.Next, Invoke |
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- **LoRA**: download **[`diffusers_lora_weights.safetensors` here 💾](/AdamLucek/sd3-cube-dreambooth-lora-cube/blob/main/diffusers_lora_weights.safetensors)**. |
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- Rename it and place it on your `models/Lora` folder. |
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- 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/). |
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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) |
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## License |
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Please adhere to the licensing terms as described [here](https://huggingface.co/stabilityai/stable-diffusion-3-medium/blob/main/LICENSE). |
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## Training details |
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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). |
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Script |
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``` |
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accelerate launch train_dreambooth_lora_sd3.py \ |
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--pretrained_model_name_or_path="stabilityai/stable-diffusion-3-medium-diffusers" \ |
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--output_dir="lora-trained-sd3-t3" \ |
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--dataset_name="AdamLucek/cube-pics-dreambooth" \ |
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--mixed_precision="fp16" \ |
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--instance_prompt="A photo of T0K cube" \ |
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--resolution=1024 \ |
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--train_batch_size=16 \ |
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--learning_rate=1e-4 \ |
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--report_to="wandb" \ |
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--lr_scheduler="constant" \ |
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--lr_warmup_steps=0 \ |
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--max_train_steps=1000 \ |
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--validation_prompt="A photo of T0K cube on a shelf" \ |
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--validation_epochs=500 \ |
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--seed="420" \ |
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--rank=16 \ |
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--hub_model_id="sd3-cube-dreambooth-lora-2" \ |
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--train_text_encoder \ |
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--push_to_hub |
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``` |
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Trained on a single H100 |
