metadata

base_model: stabilityai/stable-diffusion-3.5-medium
library_name: diffusers
license: other
instance_prompt: an icon of trpfrog
widget:
  - text: an icon of trpfrog eating ramen
    output:
      url: image_1.png
  - text: an icon of trpfrog eating ramen
    output:
      url: image_2.png
  - text: an icon of trpfrog eating ramen
    output:
      url: image_3.png
  - text: an icon of trpfrog eating ramen
    output:
      url: image_4.png
  - text: an icon of trpfrog eating ramen
    output:
      url: image_5.png
  - text: an icon of trpfrog eating ramen
    output:
      url: image_7.png
tags:
  - text-to-image
  - diffusers-training
  - diffusers
  - lora
  - template:sd-lora
  - sd3
  - sd3-diffusers
datasets:
  - trpfrog/trpfrog-icons
  - Prgckwb/trpfrog-icons-dreambooth

SD3 DreamBooth LoRA - Prgckwb/trpfrog-sd3.5-medium-lora

Model description

These are Prgckwb/trpfrog-sd3.5-medium-lora DreamBooth LoRA weights for stabilityai/stable-diffusion-3.5-medium.

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

Was LoRA for the text encoder enabled? False.

Trigger words

You should use an icon of trpfrog 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-3.5-medium', 
    torch_dtype=torch.float16
).to('cuda')

pipeline.load_lora_weights(
    'Prgckwb/trpfrog-sd3.5m-lora', 
    weight_name='pytorch_lora_weights.safetensors'
)
image = pipeline('an icon of trpfrog').images[0]
image.save('trpfrog.png')

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

LoRA: download pytorch_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.