README.md

metadata

base_model: stabilityai/stable-diffusion-3-medium-diffusers
library_name: diffusers
license: other
instance_prompt: >-
  a photo of a young canola plant in a bright blue cup. It is about 30 days old.
  It has long stems with curved, ruffled leaves.
widget:
  - text: >-
      A photo of a young canola plant with five leaves. The leaves branch off of
      the stem. The leaves are curved and ruffled around the edges and are green
      and yellow-green in colour. It is about 30 days old. It is growing in
      dark, nutrient-rich soil. It is contained within a smooth, bright blue
      cylindrical cup on a bright blue background
    output:
      url: image_0.png
  - text: >-
      A photo of a young canola plant with five leaves. The leaves branch off of
      the stem. The leaves are curved and ruffled around the edges and are green
      and yellow-green in colour. It is about 30 days old. It is growing in
      dark, nutrient-rich soil. It is contained within a smooth, bright blue
      cylindrical cup on a bright blue background
    output:
      url: image_1.png
  - text: >-
      A photo of a young canola plant with five leaves. The leaves branch off of
      the stem. The leaves are curved and ruffled around the edges and are green
      and yellow-green in colour. It is about 30 days old. It is growing in
      dark, nutrient-rich soil. It is contained within a smooth, bright blue
      cylindrical cup on a bright blue background
    output:
      url: image_2.png
  - text: >-
      A photo of a young canola plant with five leaves. The leaves branch off of
      the stem. The leaves are curved and ruffled around the edges and are green
      and yellow-green in colour. It is about 30 days old. It is growing in
      dark, nutrient-rich soil. It is contained within a smooth, bright blue
      cylindrical cup on a bright blue background
    output:
      url: image_3.png
tags:
  - text-to-image
  - diffusers-training
  - diffusers
  - lora
  - template:sd-lora
  - sd3
  - sd3-diffusers

SD3 DreamBooth LoRA - rdeinla/test-can-3-2

Prompt

A photo of a young canola plant with five leaves. The leaves branch off of the stem. The leaves are curved and ruffled around the edges and are green and yellow-green in colour. It is about 30 days old. It is growing in dark, nutrient-rich soil. It is contained within a smooth, bright blue cylindrical cup on a bright blue background

Prompt

A photo of a young canola plant with five leaves. The leaves branch off of the stem. The leaves are curved and ruffled around the edges and are green and yellow-green in colour. It is about 30 days old. It is growing in dark, nutrient-rich soil. It is contained within a smooth, bright blue cylindrical cup on a bright blue background

Prompt

A photo of a young canola plant with five leaves. The leaves branch off of the stem. The leaves are curved and ruffled around the edges and are green and yellow-green in colour. It is about 30 days old. It is growing in dark, nutrient-rich soil. It is contained within a smooth, bright blue cylindrical cup on a bright blue background

Prompt

A photo of a young canola plant with five leaves. The leaves branch off of the stem. The leaves are curved and ruffled around the edges and are green and yellow-green in colour. It is about 30 days old. It is growing in dark, nutrient-rich soil. It is contained within a smooth, bright blue cylindrical cup on a bright blue background

Model description

These are rdeinla/test-can-3-2 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 young canola plant in a bright blue cup. It is about 30 days old. It has long stems with curved, ruffled leaves. 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-3-2', weight_name='pytorch_lora_weights.safetensors')
image = pipeline('A photo of a young canola plant with five leaves. The leaves branch off of the stem. The leaves are curved and ruffled around the edges and are green and yellow-green in colour. It is about 30 days old. It is growing in dark, nutrient-rich soil. It is contained within a smooth, bright blue cylindrical cup on a bright blue background').images[0]

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

• LoRA: download diffusers_lora_weights.safetensors here 💾.
  • Rename it and place it on your models/Lora folder.
  • On AUTOMATIC1111, load the LoRA by adding <lora:your_new_name:1> to your prompt. On ComfyUI just load it as a regular LoRA.

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]