---
tags:
- text-to-image
- stable-diffusion
- lora
- diffusers
- template:sd-lora
widget:
- text: A young woman with smile, wearing a purple hat.
  parameters:
    negative_prompt: >-
      worst quality, low quality, bad anatomy, watermark, text, blurry, cartoon,
      unreal
  output:
    url: images/output.png
base_model: runwayml/stable-diffusion-v1-5
instance_prompt: null
license: mit
---
# pytorch_lora_weights.safetensors

<Gallery />

## 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:


```py

import torch
from diffusers import StableDiffusionPipeline,UNet2DConditionModel

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

pipeline.load_lora_weights("phil329/face_lora_sd15", 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 young woman with smile, wearing a purple hat.'
- 'A middle-aged man,beard ,attractive'
- 'A girl with long blonde hair'
- 'An young man with curry hair'

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.


![Result](./images/merge.png)



## Download model

Weights for this model are available in Safetensors format.

[Download](/phil329/face_lora_sd15/tree/main) them in the Files & versions tab.