We are seeking a skilled and innovative Stable Diffusion Engineer to join our team. The successful candidate will contribute to the development and training of our Stable Diffusion LoRA model, aimed at generating synthetic images of celebrities. Your main responsibility will be to train and refine our model using scraped images from sources like Google Images or Instagram. We expect the model to generate high-quality, realistic images, closely resembling the original celebrities, which will be used for marketing content.
Responsibilities:
1. Collect and preprocess image data from various online sources such as Google Images and Instagram.
2. Develop and train Stable Diffusion LoRA models for image generation.
3. Create robust training pipelines to ensure the successful learning and generalization of the model.
4. Test the model rigorously and iteratively to improve its performance and reliability.
5. Document processes and outcomes, ensuring that all findings are easily accessible to team members and relevant stakeholders.
**Requirements:**
1. Strong knowledge of Machine Learning and Deep Learning, especially in the field of image synthesis and generative models.
2. Experience with Stable Diffusion LoRA or similar models.
3. Familiarity with web scraping tools and methods.
4. Excellent problem-solving skills and the ability to work independently.
5. Strong communication skills to effectively collaborate with team members and stakeholders.
6. Passion for Generative AI
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