image   Combine multiple adapters You can also perform multi-adapter inference where you combine different adapter checkpoints for inference. Once again, use the set_adapters() method to activate two LoRA checkpoints and specify the weight for how the checkpoints should be combined.   Copied pipe.set_adapters(["pixel", "toy"], adapter_weights=[0.5, 1.0]) Now that we have set these two adapters, let’s generate an image from the combined adapters! LoRA checkpoints in the diffusion community are almost always obtained with DreamBooth. DreamBooth training often relies on “trigger” words in the input text prompts in order for the generation results to look as expected. When you combine multiple LoRA checkpoints, it’s important to ensure the trigger words for the corresponding LoRA checkpoints are present in the input text prompts. The trigger words for CiroN2022/toy-face and nerijs/pixel-art-xl are found in their repositories.   Copied # Notice how the prompt is constructed.