--- 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 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/ ├── .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.