pytorch_lora_weights.safetensors

Prompt
A rugged face with a thick mustache, dark eyes under a wide-brimmed hat. The expression is stern and untrustworthy, with wrinkles indicating years of experience as a notorious thief. Dressed in worn-out clothes, he carries an air of danger..

Negative Prompt
worst quality, low quality, bad anatomy, watermark, text, blurry, cartoon, unreal

Model description

This model is a fine-tuned version of the Stable Diffusion architecture, leveraging the Low-Rank Adaptation (LoRA) technique. It has been trained using the CelebA-HQ and FFHQ datasets, both renowned for their high-quality images of human faces.

Training Details:

Base Model: Stable Diffusion
Adaptation Technique: Low-Rank Adaptation (LoRA)
Datasets: CelebA-HQ (30,000 images), FFHQ (70,000 images)
Resolution: resolution : 512*512 fine-tuning for detailed facial synthesis

Example Usages:


import torch
from diffusers import StableDiffusionPipeline,UNet2DConditionModel

pipeline = StableDiffusionPipeline.from_pretrained("runwayml/stable-diffusion-v1-5").to("cuda")

pipeline.load_lora_weights("lokesh6309/Diff_Face", weight_name="pytorch_lora_weights.safetensors")

NEGATIVE_PROMPT = "worst quality, low quality, bad anatomy, watermark, text, blurry, cartoon, unreal"
text = 'A young woman with smile, wearing a purple hat.'

lora_image = pipeline(text,negative_prompt=NEGATIVE_PROMPT).images[0]

display(lora_image)

Results

We use four prompts as follows: A rugged face with a thick mustache, dark eyes under a wide-brimmed hat. The expression is stern and untrustworthy, with wrinkles indicating years of experience as a notorious thief. Dressed in worn-out clothes, he carries an air of danger.

The negative prompt are the same as the example codes. All the results are randomly generated and not cherry-picked.

If the generation effect is not good, try adding a negative prompt, or try different prompts and seeds.

Download model

Weights for this model are available in Safetensors format.

Download them in the Files & versions tab.