test-can-3 / README.md
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metadata
base_model: stabilityai/stable-diffusion-3-medium-diffusers
library_name: diffusers
license: other
instance_prompt: >-
  a photo of a canola plant rosette with large green leaves that is about 35
  days old.
widget:
  - text: >-
      A photo of a canola plant rosette with large green leaves. The leaves are
      ruffled around the edges and have prominent ridges. It is about 35 days
      old. It grows out of a square box covered with bright blue fabric on a
      bright blue background
    output:
      url: image_0.png
  - text: >-
      A photo of a canola plant rosette with large green leaves. The leaves are
      ruffled around the edges and have prominent ridges. It is about 35 days
      old. It grows out of a square box covered with bright blue fabric on a
      bright blue background
    output:
      url: image_1.png
  - text: >-
      A photo of a canola plant rosette with large green leaves. The leaves are
      ruffled around the edges and have prominent ridges. It is about 35 days
      old. It grows out of a square box covered with bright blue fabric on a
      bright blue background
    output:
      url: image_2.png
  - text: >-
      A photo of a canola plant rosette with large green leaves. The leaves are
      ruffled around the edges and have prominent ridges. It is about 35 days
      old. It grows out of a square box covered with bright blue fabric on a
      bright blue background
    output:
      url: image_3.png
tags:
  - text-to-image
  - diffusers-training
  - diffusers
  - lora
  - template:sd-lora
  - sd3
  - sd3-diffusers
  - text-to-image
  - diffusers-training
  - diffusers
  - lora
  - template:sd-lora
  - sd3
  - sd3-diffusers

SD3 DreamBooth LoRA - rdeinla/test-can-3

Prompt
A photo of a canola plant rosette with large green leaves. The leaves are ruffled around the edges and have prominent ridges. It is about 35 days old. It grows out of a square box covered with bright blue fabric on a bright blue background
Prompt
A photo of a canola plant rosette with large green leaves. The leaves are ruffled around the edges and have prominent ridges. It is about 35 days old. It grows out of a square box covered with bright blue fabric on a bright blue background
Prompt
A photo of a canola plant rosette with large green leaves. The leaves are ruffled around the edges and have prominent ridges. It is about 35 days old. It grows out of a square box covered with bright blue fabric on a bright blue background
Prompt
A photo of a canola plant rosette with large green leaves. The leaves are ruffled around the edges and have prominent ridges. It is about 35 days old. It grows out of a square box covered with bright blue fabric on a bright blue background

Model description

These are rdeinla/test-can-3 DreamBooth LoRA weights for stabilityai/stable-diffusion-3-medium-diffusers.

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

Was LoRA for the text encoder enabled? False.

Trigger words

You should use a photo of a canola plant rosette with large green leaves that is about 35 days old. to trigger the image generation.

Download model

Download the *.safetensors LoRA in the Files & versions tab.

Use it with the 🧨 diffusers library

from diffusers import AutoPipelineForText2Image
import torch
pipeline = AutoPipelineForText2Image.from_pretrained(stabilityai/stable-diffusion-3-medium-diffusers, torch_dtype=torch.float16).to('cuda')
pipeline.load_lora_weights('rdeinla/test-can-3', weight_name='pytorch_lora_weights.safetensors')
image = pipeline('A photo of a canola plant rosette with large green leaves. The leaves are ruffled around the edges and have prominent ridges. It is about 35 days old. It grows out of a square box covered with bright blue fabric on a bright blue background').images[0]

Use it with UIs such as AUTOMATIC1111, Comfy UI, SD.Next, Invoke

For more details, including weighting, merging and fusing LoRAs, check the documentation on loading LoRAs in diffusers

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]