End of training

README.md

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+---
+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
+---
+
+<!-- This model card has been generated automatically according to the information the training script had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+
+# HiDream Image DreamBooth LoRA - viyer7/trained-qwen-lora
+
+<Gallery />
+
+## Model description
+
+These are viyer7/trained-qwen-lora DreamBooth LoRA weights for models/Qwen-Image.
+
+The weights were trained using [DreamBooth](https://dreambooth.github.io/) with the [Qwen Image diffusers trainer](https://github.com/huggingface/diffusers/blob/main/examples/dreambooth/README_qwen.md).
+
+## Trigger words
+
+You should use `None` to trigger the image generation.
+
+## Download model
+
+[Download the *.safetensors LoRA](viyer7/trained-qwen-lora/tree/main) in the Files & versions tab.
+
+## Use it with the [🧨 diffusers library](https://github.com/huggingface/diffusers)
+
+```py
+    >>> 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](https://huggingface.co/docs/diffusers/main/en/using-diffusers/loading_adapters)
+
+
+## Intended uses & limitations
+
+#### How to use
+
+```python
+# 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]

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