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("ConfettiIII/trained-sd3")
prompt = "A photo of sks dog in a bucket"
image = pipe(prompt).images[0]SD3 DreamBooth LoRA - ConfettiIII/trained-sd3
- Prompt
- A photo of sks dog in a bucket
- Prompt
- A photo of sks dog in a bucket
- Prompt
- A photo of sks dog in a bucket
- Prompt
- A photo of sks dog in a bucket
Model description
These are ConfettiIII/trained-sd3 DreamBooth weights for stabilityai/stable-diffusion-3-medium-diffusers.
The weights were trained using DreamBooth.
LoRA for the text encoder was enabled: False.
Trigger words
You should use a photo of sks dog to trigger the image generation.
Download model
Download them in the Files & versions tab.
License
Please adhere to the licensing terms as described here.
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]
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