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---
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
instance_prompt: RTWAnna
---
# RTWAnna_rank32-lora
Model trained with [AI Toolkit by Ostris](https://github.com/ostris/ai-toolkit)
## Trigger words
You should use `RTWAnna` 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](charlesjz/RTWAnna_rank32-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('charlesjz/RTWAnna_rank32-lora', weight_name='RTWAnna_rank32_000001250.safetensors')
image = pipeline('RTWAnna').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)
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