| --- |
| license: other |
| library_name: diffusers |
| tags: |
| - text-to-image |
| - diffusers-training |
| - diffusers |
| - lora |
| - replicate |
| - template:sd-lora |
| - sd3.5-large |
| - sd3.5 |
| - sd3.5-diffusers |
| base_model: stabilityai/stable-diffusion-3.5-large |
| instance_prompt: Rio |
| widget: [] |
| --- |
| |
| <!-- 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. --> |
|
|
|
|
| # SD3.5-Large DreamBooth LoRA - DanielHostings/Rio2 |
|
|
| <Gallery /> |
|
|
| ## Model description |
|
|
| These are DanielHostings/Rio2 DreamBooth LoRA weights for stable-diffusion-3.5-large. |
|
|
| 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 `Rio` to trigger the image generation. |
|
|
| ## Download model |
|
|
| [Download the *.safetensors LoRA](DanielHostings/Rio2/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(stable-diffusion-3.5-large, torch_dtype=torch.float16).to('cuda') |
| pipeline.load_lora_weights('DanielHostings/Rio2', weight_name='pytorch_lora_weights.safetensors') |
| image = pipeline('Rio').images[0] |
| ``` |
|
|
| ### Use it with UIs such as AUTOMATIC1111, Comfy UI, SD.Next, Invoke |
|
|
| - **LoRA**: download **[`diffusers_lora_weights.safetensors` here 💾](/DanielHostings/Rio2/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-3.5-large/blob/main/LICENSE.md). |
|
|
| ## Training details |
|
|
| Trained on Replicate using: [lucataco/stable-diffusion-3.5-large-lora-trainer](https://replicate.com/lucataco/stable-diffusion-3.5-large-lora-trainer) |
|
|
|
|
| ## 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] |
