How to use from the
Use from the
Diffusers library
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("gdvstd/trained-sd3-lora")

prompt = "a storyboard image in sks style"
image = pipe(prompt).images[0]

SD3 DreamBooth LoRA - gdvstd/trained-sd3-lora

Model description

These are gdvstd/trained-sd3-lora 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 storyboard image in sks style 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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