Manually authored research that begins with upstream documentation, separates fact from editorial judgment, and ends with a decision you can apply to a real workflow.
A workload-first guide to choosing 6, 8, 12, 16, or 24 GB for ComfyUI—covering offload, model precision, resolution, video, and the difference between fitting and working comfortably.
Updated 2026-07-13 · 3 upstream sources
Read the guide →Choose a realistic GPU tier and training tool for image-model LoRAs. Understand resolution, rank, optimizer state, gradient checkpointing, caching, and offload before committing to a workflow.
Updated 2026-07-13 · 3 upstream sources
Read the guide →Estimate whether a local language model will fit by accounting for quantized weights, KV cache, context length, runtime buffers, GPU offload, and concurrent sessions.
Updated 2026-07-13 · 3 upstream sources
Read the guide →Documented: stated in official project documentation or an upstream repository. Editorial synthesis: our conclusion from those facts. Workload-dependent: a planning range that must be validated against the exact model and settings.
Read the full evidence policy →Use the Stack Builder to filter the catalogue by goal, platform, and VRAM. Then use these guides to understand why a fit may still require offload, quantization, or a smaller workload.
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