metadata
tags:
- text-to-image
- lora
- diffusers
- template:diffusion-lora
- stable-diffusion-3.5-large-turbo
- hyper-realistic
- realism
- epic-realism
widget:
- text: >-
Hyper Realistic, dark haired woman is standing in front of orange light,
in glossy transparent plastic futuristic raincoat, short hair, volumetric
lighting, cinematic angle, glamour vibrant.
output:
url: images/222.webp
- text: >-
Photograph of two young men, one with short blonde hair and the other with
brown hair, standing in front of mountains and wearing old West-style and
tank tops, abs, fit, The image is in a vintage black-and-white photography
style, in the style of Richard Avedon. --v 6. 1 --ar 113:128
output:
url: images/000.webp
- text: >-
A photorealistic portrait of a 22-year-old Indian woman smiles confidently
at the camera, with long, straight black hair and warm brown eyes. She
wears a yet casual dress that combines comfort and style, posed in a
full-body shot with her hands casually resting at her sides, showcasing a
stylish watch on her left wrist. The image features high detail and
quality, captured in soft, natural lighting that accentuates her
approachable expression as she stands in a modern urban environment.
output:
url: images/444.webp
base_model: stabilityai/stable-diffusion-3.5-large-turbo
instance_prompt: hyper realistic
license: creativeml-openrail-m
SD3.5-4/8Step-Large-Turbo-HyperRealistic-LoRA
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/SD3.5-Large-Turbo-HyperRealistic-LoRA
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 & 2.2k |
Epoch | 15 | Save Every N Epochs | 1 |
Labeling: florence2-en(natural language & English)
Total Images Used for Training : 30
Sample Image
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/SD3.5-Large-Turbo-HyperRealistic-LoRA", weight_name="SD3.5-4Step-Large-Turbo-HyperRealistic-LoRA.safetensors")
trigger_word = "hyper realistic" # Specify trigger word for LoRA
pipe.fuse_lora(lora_scale=1.0))
Trigger words π§¨
Trigger words: You should use
hyper realistic
to trigger the image generation.
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.