README.md

---
tags:
- text-to-image
- lora
- diffusers
- template:sd-lora
- ai-toolkit
base_model: Qwen/Qwen-Image
license: creativeml-openrail-m
inference:
  parameters:
    width: 512
    height: 512
---

# pixel_portrait_lora_v1-lora

Model trained with [AI Toolkit by Ostris](https://github.com/ostris/ai-toolkit)



## Trigger words

No trigger words defined, but it's recommended to start with "*A portrait of \[subject\] with \[appearance/traits\]*".

## Sample outputs

Images from left-to-right were generated at 512x512 with:

No LoRA, 500 steps, 1000 steps, 1500 steps, 2000 steps (final checkpoint)

### Medieval Knight

**Prompt**: *A portrait of a medieval knight with iron armor, wearing a full iron helmet with a red plume on the back side of the helm. The knight is facing front right at a 45-degree angle with a neutral pose. The iron armor is clean and reflective, showing a clean polish.*

![samples_knight](https://cdn-uploads.huggingface.co/production/uploads/68dcbc0eb3e9381d15e2cbbc/WN4LtbQdwQ7vQu3GMBrLU.png)

### Witch

**Prompt**: *A portrait of a witch with long red hair and blue eyes, wearing a dark purple witch hat and robes. The witch is facing left with a neutral expression. The robes are trimmed with white and light purple colors.*

![samples_witch](https://cdn-uploads.huggingface.co/production/uploads/68dcbc0eb3e9381d15e2cbbc/0C8rbHinwmdS8NSeKz_JM.png)

### Werewolf

**Prompt**: *A portrait of a werewolf with light gray fur and yellow eyes, wearing a red scarf and a sword on his back. The werewolf is facing forward with a confident expression.*

![samples_werewolf](https://cdn-uploads.huggingface.co/production/uploads/68dcbc0eb3e9381d15e2cbbc/ODyomle3GsJcOS4wZQCE_.png)


## How to get pixel-perfect images

To get pixel-perfect images, downscale by a factor of 8. So 512x512 images should downscale to 64x64, 1024x1024 to 128x128, and so on.

You can generate at higher resolutions like 1024x1024, but you may get worse pixel quality because the LoRA was trained on 512x512 images only.


## Download model and use it with ComfyUI, AUTOMATIC1111, SD.Next, Invoke AI, etc.

Weights for this model are available in Safetensors format.

[Download](svntax-dev/pixel_portrait_lora_v1-lora/tree/main) them in the Files & versions tab.

## Use it with the [🧨 diffusers library](https://github.com/huggingface/diffusers)

```py
from diffusers import AutoPipelineForText2Image
import torch

pipeline = AutoPipelineForText2Image.from_pretrained('Qwen/Qwen-Image', torch_dtype=torch.bfloat16).to('cuda')
pipeline.load_lora_weights('svntax-dev/pixel_portrait_lora_v1-lora', weight_name='pixel_portrait_lora_v1_000001500.safetensors')
image = pipeline('a beautiful landscape').images[0]
image.save("my_image.png")
```

For more details, including weighting, merging and fusing LoRAs, check the [documentation on loading LoRAs in diffusers](https://huggingface.co/docs/diffusers/main/en/using-diffusers/loading_adapters)