---
tags:
- text-to-image
- lora
- diffusers
- template:sd-lora
- ai-toolkit
base_model: Qwen/Qwen-Image
license: creativeml-openrail-m
inference:
  parameters:
    width: 1024
    height: 1024
pipeline_tag: text-to-image
widget:
- text: >-
    monsters gathering in a lively campus square, banners and balloons decorating the scene, some riding bikes, others chatting or playing
  output:
    url: images/1.png

- text: >-
    A small village on an island in the style of the Amalfi Coast, colorful houses perched on terraces above the sea, narrow cobblestone streets lined with flower pots, people strolling past outdoor cafés, fishing boats gently swaying at the pier under the golden sunset light.
  output:
    url: images/2.png

- text: >-
    A small village on an island in the style of the Amalfi Coast, colorful houses perched on terraces above the sea, narrow cobblestone streets lined with flower pots, people strolling past outdoor cafés, fishing boats gently swaying at the pier under the golden sunset light.
  output:
    url: images/3.png

- text: >-
    A small village on an island in the style of the Amalfi Coast, colorful houses perched on terraces above the sea, narrow cobblestone streets lined with flower pots, people strolling past outdoor cafés, fishing boats gently swaying at the pier under the golden sunset light.
  output:
    url: images/4.png

---

# pchan-concept-qwen-image-lora
Peter Chan's sketches

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

This model was trained on Peter Chan's concept art.

You can enjoy his wonderful art at:
https://peterchanconceptart.com/



# Gallery
<Gallery />


## Trigger words

No trigger words defined.

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

Weights for this model are available in Safetensors format.

[Download](lichorosario/pchan-concept-qwen-image-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('lichorosario/pchan-concept-qwen-image-lora', weight_name='pchan-concept-qwen-image_000002500.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)