large, medium, turbo lora • 7 items • Updated • 6
SD3.5-4/8Step-Large-Turbo-HyperRealistic-LoRA
Demo space + Grid Gen Upto 3X2 : https://huggingface.co/spaces/prithivMLmods/SD3.5-TURBO-REALISM (Not In Use)
- Prompt
- 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.
- Prompt
- 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
- Prompt
- 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.
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
👁 prithivMLmods/SD3.5-Large-Turbo-HyperRealistic-LoRA
👁 prithivMLmods/SD3.5-Large-Turbo-HyperRealistic-LoRA
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/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 🧨
Trigger words: You should use
hyper realisticto trigger the image generation.
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
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Model tree for prithivMLmods/SD3.5-Large-Turbo-HyperRealistic-LoRA
Base model
stabilityai/stable-diffusion-3.5-large-turbo