README.md

metadata

base_model: models/Qwen-Image
library_name: diffusers
license: apache-2.0
widget: []
tags:
  - text-to-image
  - diffusers-training
  - diffusers
  - lora
  - qwen-image
  - qwen-image-diffusers
  - template:sd-lora

HiDream Image DreamBooth LoRA - viyer7/trained-qwen-lora

Model description

These are viyer7/trained-qwen-lora DreamBooth LoRA weights for models/Qwen-Image.

The weights were trained using DreamBooth with the Qwen Image diffusers trainer.

Trigger words

You should use None to trigger the image generation.

Download model

Download the *.safetensors LoRA in the Files & versions tab.

Use it with the 🧨 diffusers library

    >>> import torch
    >>> from diffusers import QwenImagePipeline

    >>> pipe = QwenImagePipeline.from_pretrained(
    ...     "Qwen/Qwen-Image",
    ...     torch_dtype=torch.bfloat16,
    ... )
    >>> pipe.enable_model_cpu_offload()
    >>> pipe.load_lora_weights(f"viyer7/trained-qwen-lora")
    >>> image = pipe(f"None").images[0]

For more details, including weighting, merging and fusing LoRAs, check the documentation on loading LoRAs in diffusers

Intended uses & limitations

How to use

# TODO: add an example code snippet for running this diffusion pipeline

Limitations and bias

[TODO: provide examples of latent issues and potential remediations]

Training details

[TODO: describe the data used to train the model]