ComfyUI
Node-Based Generative Workflows
Evaluating and constructing advanced Stable Diffusion and FLUX pipelines on local hardware. Designing custom node architectures for precise control over image generation and latent space exploration.
Latent space exploration.
ComfyUI serves as the central visual research environment in our lab. By leveraging a node-based architecture, it allows us to meticulously route latents, condition text embeddings, and integrate ControlNets. This granularity is vital for researching generative adversarial capabilities and automated visual synthesis without cloud dependencies.
Key References
Rombach, R., et al. (2022). "High-Resolution Image Synthesis with Latent Diffusion Models." CVPR 2022.
Node-based logic.
Our deployment focuses on complex generative pipelines using SDXL, FLUX, and custom LoRAs. Every stage from prompt encoding to VAE decoding is exposed, enabling granular control over the diffusion process.
FLUX.1 [schnell]
State-of-the-art text-to-image synthesis with exceptional prompt adherence and spatial understanding.
SDXL 1.0
High-resolution base model optimized for photorealism and broad conceptual alignment.
LoRA Networks
Low-Rank Adaptation models dynamically injected into the node graph for stylistic and character consistency.