--- base_model: stabilityai/stable-diffusion-3.5-medium library_name: diffusers license: other instance_prompt: Eggs of Spodoptera were observed on the surface of a passion fruit leaf widget: [] tags: - text-to-image - diffusers-training - diffusers - template:sd-lora - sd3 - sd3-diffusers --- # SD3 DreamBooth - tomy600098/TunedModel_Spodoptera-lf_2_sd3.5_remove ## Model description These are tomy600098/TunedModel_Spodoptera-lf_2_sd3.5_remove DreamBooth weights for stabilityai/stable-diffusion-3.5-medium. 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 the text encoder fine-tuned? False. ## Trigger words You should use `Eggs of Spodoptera were observed on the surface of a passion fruit leaf` to trigger the image generation. ## Use it with the [🧨 diffusers library](https://github.com/huggingface/diffusers) ```py from diffusers import AutoPipelineForText2Image import torch pipeline = AutoPipelineForText2Image.from_pretrained('tomy600098/TunedModel_Spodoptera-lf_2_sd3.5_remove', torch_dtype=torch.float16).to('cuda') image = pipeline('Eggs of Spodoptera were observed on the surface of a passion fruit leaf').images[0] ``` ## 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]