---
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

widget:
- text: >-
    A photo of CHNZRRLL old woman wearing an orange russian spacesuit  
  output:
    url: images/1.png

- text: >-
    A photo of CHNZRRLL old woman doing a streaming session at her beadroom. Neon fucsia light from the left. cyan light from the right. She is wearing headphones.
  output:
    url: images/2.png

- text: >-
    A photo of CHNZRRLL old woman at the Buenos Aires gay parade. There are plenty of people. Gay flags. There are many smoke colors.
  output:
    url: images/3.png

- text: >-
    A photo of CHNZRRLL old woman riding a dark dragon. The dragon is spitting fire. Game of Thrones scene.
  output:
    url: images/4.png

---

# china-qwen-image-lora-lora

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

# Gallery
<Gallery />


## Trigger words

CHNZRRLL

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

Weights for this model are available in Safetensors format.

[Download](lichorosario/china-qwen-image-lora-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/china-qwen-image-lora-lora', weight_name='china-qwen-image-lora_000002000.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)