---
tags:
- text-to-video
- lora
- diffusers
- template:sd-lora
- ai-toolkit
base_model: ai-toolkit/Wan2.2-T2V-A14B-Diffusers-bf16
license: creativeml-openrail-m
inference:
  parameters:
    width: 1024
    height: 1024
instance_prompt: Ronova
---

# my_first_lora_v6-lora

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



## Trigger words

You should use `Ronova` to trigger the image generation.

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

Weights for this model are available in Safetensors format.

[Download](TTfire/my_first_lora_v6-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('ai-toolkit/Wan2.2-T2V-A14B-Diffusers-bf16', torch_dtype=torch.bfloat16).to('cuda')
pipeline.load_lora_weights('TTfire/my_first_lora_v6-lora', weight_name='my_first_lora_v6_low_noise.safetensors')
image = pipeline('Ronova').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)