SD3 DreamBooth - tomy600098/TunedModel_BrownSpot-ft_sd3.5_remove

Model description

These are tomy600098/TunedModel_BrownSpot-ft_sd3.5_remove DreamBooth weights for stabilityai/stable-diffusion-3.5-medium.

The weights were trained using DreamBooth with the SD3 diffusers trainer.

Was the text encoder fine-tuned? False.

Trigger words

You should use The passion fruit has some brown spots on its skin, giving it a patchy look. The spots are scattered around the surface and make the fruit look less fresh than usual to trigger the image generation.

Use it with the 🧨 diffusers library

from diffusers import AutoPipelineForText2Image
import torch
pipeline = AutoPipelineForText2Image.from_pretrained('tomy600098/TunedModel_BrownSpot-ft_sd3.5_remove', torch_dtype=torch.float16).to('cuda')
image = pipeline('The passion fruit has some brown spots on its skin, giving it a patchy look. The spots are scattered around the surface and make the fruit look less fresh than usual').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

# 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]