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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 - Prgckwb/trpfrog-sd3.5-medium

Prompt
an icon of trpfrog eating ramen
Prompt
an icon of trpfrog eating ramen
Prompt
an icon of trpfrog eating ramen
Prompt
an icon of trpfrog eating ramen
Prompt
an icon of trpfrog eating ramen
Prompt
an icon of trpfrog eating ramen

Model description

!! This is same as Prgckwb/trpfrog-sd3.5-medium-lora !!

These are Prgckwb/trpfrog-sd3.5-medium DreamBooth 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.

Use it with the 🧨 diffusers library

from diffusers import AutoPipelineForText2Image
import torch

pipeline = AutoPipelineForText2Image.from_pretrained(
    'Prgckwb/trpfrog-sd3.5-medium', 
    torch_dtype=torch.float16
).to('cuda')

image = pipeline('an icon of trpfrog').images[0]
image.save('trpfrog.png')

License

Please adhere to the licensing terms as described here.