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: 1024
    height: 1024

widget:
- text: >-
    a mad scientist laboratory interior
  output:
    url: images/1.png

- text: >-
    a restaurant kitchen interior
  output:
    url: images/3.png

- text: >-
    a small street at Mikonos, greece
  output:
    url: images/4.png

- text: >-
    cartoon style illustration of a tv studio
  output:
    url: images/5.png

- text: >-
    cartoon style illustration of a tv studio. There is a big quiz show set. There are color lights. Many  cameras are pointing to the main stage.
  output:
    url: images/6.png


---

# panorama-qwen-image-lora

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

It generates panoramic/fisheye/360 images.

# 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/fisheye_v3-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/fisheye_v3-qwen-image-lora', weight_name='fisheye_v3-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)