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---
tags:
- text-to-image
- lora
- diffusers
- template:diffusion-lora
- Doodle
- Diagrams
widget:
- text: >-
Simple Doodle, A cartoon drawing of a woman with long dark brown hair and a
white face. The womans face has black eyes, a black nose, and a black smile.
She is wearing a peach colored top with a white collar. The background is a
light beige color.
output:
url: images/SD1.webp
- text: >-
Simple Doodle, A cartoon drawing of a mountain range with snow on it. The
mountain range is outlined in a light green color. There is a pink mountain
range in the middle of the mountain range. There are trees in the bottom
left corner of the image. The sky is a light blue color and there are clouds
in the top right corner. The sun is shining through the clouds.
output:
url: images/SD2.webp
- text: >-
Simple Doodle, A cartoon drawing of a boy with short black hair and a yellow
shirt. The boy has a smile on his face. The background is a peach color and
there are green leaves on either side of the boy. There are white dots on
the peach color background.
output:
url: images/SD3.webp
- text: >-
Simple Doodle, A cartoon drawing of a woman with long dark brown hair and a
white face. The womans face has black eyes, a black nose, and a black smile.
She is wearing a peach colored top with a white collar. The background is a
light beige color.
output:
url: images/example_tbpzov9i7.png
base_model: stabilityai/stable-diffusion-3.5-large-turbo
instance_prompt: Simple Doodle
license: creativeml-openrail-m
---
# Simple-Doodle-SD3.5-Turbo
<Gallery />
**The model is still in the training phase. This is not the final version and may contain artifacts and perform poorly in some cases.**
## Model description
**prithivMLmods/Simple-Doodle-SD3.5-Turbo**
Image Processing Parameters
| Parameter | Value | Parameter | Value |
|---------------------------|--------|---------------------------|--------|
| LR Scheduler | constant | Noise Offset | 0.03 |
| Optimizer | AdamW | Multires Noise Discount | 0.1 |
| Network Dim | 64 | Multires Noise Iterations | 10 |
| Network Alpha | 32 | Repeat & Steps | 20 & 2300 |
| Epoch | 10 | Save Every N Epochs | 1 |
Labeling: florence2-en(natural language & English)
Total Images Used for Training : 18
## App File Structure
/project-root/
├── .gitattributes
├── README.md
├── app.py
├── pythonproject.py
## Setting Up
```
from diffusers import DiffusionPipeline
import torch
device = "cuda" if torch.cuda.is_available() else "cpu"
model_repo_id = "stabilityai/stable-diffusion-3.5-large-turbo"
torch_dtype = torch.bfloat16 if torch.cuda.is_available() else torch.float32
pipe = DiffusionPipeline.from_pretrained(model_repo_id, torch_dtype=torch_dtype)
pipe = pipe.to(device)
pipe.load_lora_weights("prithivMLmods/Simple-Doodle-SD3.5-Turbo", weight_name="SD3.5-Turbo-Realism-2.0-LoRA.safetensors")
trigger_word = "Simple Doodle"
pipe.fuse_lora(lora_scale=1.0)
```
## Trigger words
You should use `Simple Doodle` to trigger the image generation.
## Download model
Weights for this model are available in Safetensors format.
[Download](/prithivMLmods/Simple-Doodle-SD3.5-Turbo/tree/main) them in the Files & versions tab. |