tags:
- text-to-image
- stable-diffusion
- lora
- diffusers
- template:sd-lora
widget:
- text: >-
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..
parameters:
negative_prompt: >-
worst quality, low quality, bad anatomy, watermark, text, blurry,
cartoon, unreal
output:
url: prompt1.png
base_model: runwayml/stable-diffusion-v1-5
instance_prompt: null
license: mit
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.