The primary limiting factor for running the FLUX.1 Dev model (12B parameters) on an NVIDIA RTX 4070 Ti is the GPU's VRAM capacity. FLUX.1 Dev, when using FP16 (half-precision floating point), requires approximately 24GB of VRAM to load and operate efficiently. The RTX 4070 Ti is equipped with 12GB of GDDR6X memory. This 12GB deficit prevents the model from being loaded entirely onto the GPU, leading to a compatibility failure. While the RTX 4070 Ti boasts a memory bandwidth of 0.5 TB/s, 7680 CUDA cores, and 240 Tensor cores based on the Ada Lovelace architecture, these specifications become irrelevant if the model cannot reside in the GPU's memory.
Due to the VRAM limitation, running FLUX.1 Dev on the RTX 4070 Ti in FP16 is not feasible without significant modifications. Consider using quantization techniques, such as 8-bit or even 4-bit quantization (e.g., using bitsandbytes or GPTQ), to reduce the model's memory footprint. This will significantly lower the VRAM requirement, potentially bringing it within the 4070 Ti's 12GB capacity. Alternatively, explore offloading some layers to system RAM, though this will drastically reduce inference speed. If possible, consider upgrading to a GPU with more VRAM, such as the RTX 3090 or RTX 4080, to run the model without these compromises.