import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-3-medium-diffusers", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("TE2G/thin")
prompt = "A photo of thin knit pullover on a mannequin or torso"
image = pipe(prompt).images[0]SD3 DreamBooth LoRA - TE2G/thin
- Prompt
- A photo of thin knit pullover on a mannequin or torso
- Prompt
- A photo of thin knit pullover on a mannequin or torso
- Prompt
- A photo of thin knit pullover on a mannequin or torso
- Prompt
- A photo of thin knit pullover on a mannequin or torso
Model description
These are TE2G/thin DreamBooth weights for stabilityai/stable-diffusion-3-medium-diffusers.
The weights were trained using DreamBooth.
Trigger words
You should use a photo of thin knit pullover to trigger the image generation.
Download model
Download them in the Files & versions tab.
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
# 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]
- Downloads last month
- 5