metadata
base_model: Qwen/Qwen-Image
library_name: diffusers
license: apache-2.0
instance_prompt: a trtcrd of
tags:
- text-to-image
- diffusers-training
- diffusers
- lora
- qwen-image
- qwen-image-diffusers
- template:sd-lora
HiDream Image DreamBooth LoRA - multimodalart/qwen-tarot
Model description
These are multimodalart/qwen-tarot DreamBooth LoRA weights for Qwen/Qwen-Image.
The weights were trained using DreamBooth with the Qwen Image diffusers trainer.
Trigger words
You should use a trtcrd of [...], tarot card style 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"multimodalart/qwen-tarot")
>>> image = pipe(f"a trtcrd of a mecha robot").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]