metadata
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
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/
βββ .gitattributes
βββ README.md
βββ app.py
βββ 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 them in the Files & versions tab.