| | --- |
| | base_model: stabilityai/stable-diffusion-3-medium-diffusers |
| | library_name: diffusers |
| | license: other |
| | instance_prompt: a photo of sks dog |
| | widget: |
| | - text: A photo of sks dog in a bucket |
| | output: |
| | url: image_0.png |
| | - text: A photo of sks dog in a bucket |
| | output: |
| | url: image_1.png |
| | - text: A photo of sks dog in a bucket |
| | output: |
| | url: image_2.png |
| | - text: A photo of sks dog in a bucket |
| | output: |
| | url: image_3.png |
| | tags: |
| | - text-to-image |
| | - diffusers-training |
| | - diffusers |
| | - lora |
| | - template:sd-lora |
| | - sd3 |
| | - sd3-diffusers |
| | - text-to-image |
| | - diffusers-training |
| | - diffusers |
| | - lora |
| | - template:sd-lora |
| | - sd3 |
| | - sd3-diffusers |
| | --- |
| | |
| | <!-- This model card has been generated automatically according to the information the training script had access to. You |
| | should probably proofread and complete it, then remove this comment. --> |
| |
|
| |
|
| | # SD3 DreamBooth LoRA - tmyz/path-to-save-model |
| |
|
| | <Gallery /> |
| |
|
| | ## Model description |
| |
|
| | These are tmyz/path-to-save-model 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 sks dog` to trigger the image generation. |
| |
|
| | ## Download model |
| |
|
| | [Download the *.safetensors LoRA](tmyz/path-to-save-model/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('tmyz/path-to-save-model', weight_name='pytorch_lora_weights.safetensors') |
| | image = pipeline('A photo of sks dog in a bucket').images[0] |
| | ``` |
| |
|
| | ### Use it with UIs such as AUTOMATIC1111, Comfy UI, SD.Next, Invoke |
| |
|
| | - **LoRA**: download **[`diffusers_lora_weights.safetensors` here 💾](/tmyz/path-to-save-model/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.md). |
| |
|
| |
|
| | ## 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] |
