metadata
license: openrail++
library_name: diffusers
tags:
- text-to-image
- diffusers-training
- diffusers
- lora
- sd3
- sd3-diffusers
- template:sd-lora
base_model: stabilityai/stable-diffusion-3-medium-diffusers
instance_prompt: panda drinking matcha, yarn art style
widget: []
SD3 DreamBooth LoRA - linoyts/yarn_art_sd3_lora_1200_te_batch_3
.png)
- Prompt
- birth of venus, Yarn art style
- Negative Prompt
- illustration, 2d, painting, digital
.png)
- Prompt
- a yarn art style version of Mona Lisa
- Negative Prompt
- illustration, 2d, painting, digital
.png)
- Prompt
- a yarn art style yoda
- Negative Prompt
- realistic, illustration, 2d, bad quality, blurry, bad anatomy
.png)
- Prompt
- starry night, Yarn art style
- Negative Prompt
- illustration, 2d, bad quality, blurry
.png)
- Prompt
- the beatles, yarn art style
- Negative Prompt
- illustration, 2d, bad quality, blurry, bad anatomy
.png)
- Prompt
- a yarn art style version of the scream by Munch
- Negative Prompt
- illustration, 2d, bad quality
Model description
These are linoyts/yarn_art_sd3_lora_1200_te_batch_3 DreamBooth weights for stabilityai/stable-diffusion-3-medium-diffusers.
The weights were trained using DreamBooth.
LoRA for the text encoder was enabled: True.
Trigger words
You should use panda drinking matcha, yarn art 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]