--- 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 - text-to-image - diffusers-training - diffusers - lora - sd3 - sd3-diffusers - template:sd-lora instance_prompt: a photo of [V] widget: - text: A photo of [V] output: url: image_0.png - text: A photo of [V] output: url: image_1.png - text: A photo of [V] output: url: image_2.png - text: A photo of [V] output: url: image_3.png --- # SD3 DreamBooth LoRA - anmittal1/fdk-sd3-lora-2 ## Model description These are anmittal1/fdk-sd3-lora-2 DreamBooth LoRA weights for stabilityai/stable-diffusion-3-medium-diffusers. 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). Was LoRA for the text encoder enabled? False. ## Trigger words You should use `a photo of [V]` to trigger the image generation. ## Download model [Download the *.safetensors LoRA](anmittal1/fdk-sd3-lora-2/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('anmittal1/fdk-sd3-lora-2', weight_name='pytorch_lora_weights.safetensors') image = pipeline('A photo of [V]').images[0] ``` ### Use it with UIs such as AUTOMATIC1111, Comfy UI, SD.Next, Invoke - **LoRA**: download **[`diffusers_lora_weights.safetensors` here 💾](/anmittal1/fdk-sd3-lora-2/blob/main/diffusers_lora_weights.safetensors)**. - Rename it and place it on your `models/Lora` folder. - On AUTOMATIC1111, load the LoRA by adding `` 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). ## Intended uses & limitations #### How to use ```python # TODO: add an example code snippet for running this diffusion pipeline ``` #### Limitations and bias [TODO: provide examples of latent issues and potential remediations] ## Training details [TODO: describe the data used to train the model]