SD 3.5 Large LoRA
Collection
large, medium, turbo lora β’ 7 items β’ Updated β’ 6
How to use prithivMLmods/SD3.5-Large-Photorealistic-LoRA with Diffusers:
pip install -U diffusers transformers accelerate
import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-3.5-large", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("prithivMLmods/SD3.5-Large-Photorealistic-LoRA")
prompt = "A photorealistic portrait of a young woman with short dark brown hair, wearing a grey spaghetti-strap top, standing outdoors in soft daylight. The background includes a blurred pool and greenery, creating a serene and summery atmosphere. Warm lighting highlights her natural beauty and relaxed expression."
image = pipe(prompt).images[0]


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/SD3.5-Large-Photorealistic-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 & 1.5K |
| Epoch | 10 | Save Every N Epochs | 1 |
Labeling: florence2-en(natural language & English)
Total Images Used for Training : 40
import torch
from diffusers import StableDiffusion3Pipeline
pipe = StableDiffusion3Pipeline.from_pretrained("stabilityai/stable-diffusion-3.5-large", torch_dtype=torch.bfloat16)
pipe.load_lora_weights("prithivMLmods/SD3.5-Large-Photorealistic-LoRA", weight_name="Photorealistic-SD3.5-Large-LoRA.safetensors")
pipe.fuse_lora(lora_scale=1.0)
pipe.to("cuda")
prompt = "Man in the style of dark beige and brown, uhd image, youthful protagonists, nonrepresentational photography"
negative_prompt = "(lowres, low quality, worst quality)"
image = pipe(prompt=prompt,
negative_prompt=negative_prompt
num_inference_steps=24,
guidance_scale=4.0,
width=960, height=1280,
).images[0]
image.save(f"example.jpg")
You should use photorealistic to trigger the image generation.
You should use photography 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