SD 3.5 Large LoRA
Collection
large, medium, turbo lora
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7 items
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Updated
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10
The model is still in the training phase. This is not the final version and may contain artifacts and perform poorly in some cases.
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
/project-root/
βββ .gitattributes
βββ README.md
βββ app.py
βββ pythonproject.py
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)
You should use Simple Doodle
to trigger the image generation.
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
Base model
stabilityai/stable-diffusion-3.5-large-turbo