Text-to-Image
Diffusers
TensorBoard
diffusers-training
sd3
sd3-diffusers
template:sd-lora
lora
stable-diffusion-xl
stable-diffusion-xl-diffusers
Instructions to use TE2G/aran with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use TE2G/aran with Diffusers:
pip install -U diffusers transformers accelerate
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/aran") prompt = "A photo of aran knit pullover on a mannequin or torso" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
SD3 DreamBooth LoRA - TE2G/aran

- Prompt
- A photo of aran knit pullover on a mannequin or torso

- Prompt
- A photo of aran knit pullover on a mannequin or torso

- Prompt
- A photo of aran knit pullover on a mannequin or torso

- Prompt
- A photo of aran knit pullover on a mannequin or torso
Model description
These are TE2G/aran DreamBooth weights for stabilityai/stable-diffusion-3-medium-diffusers.
The weights were trained using DreamBooth.
Trigger words
You should use a photo of aran 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
- 26