Best diffusion model given full ~32GB headroom (Qwen stopped) #39
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#42 Extend downloader for the diffusion model weights
haylan/LLM-Server
Reference: haylan/LLM-Server#39
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Question
With Qwen/llama-server fully stopped, ComfyUI has the full ~32GB R9700 to
itself instead of the ~6GB left over while Qwen runs. Given that headroom,
which model should this map actually build against — stay on FLUX.1-schnell
(Apache-2.0, GGUF Q4_K_S ~7GB, already confirmed to fit even alongside Qwen),
or move up to FLUX.1-dev, SD3.5-large, Qwen-Image, HunyuanImage-3.0, or
Krea-2 (see docs/research/image-generation-options.md for the prior survey
and licenses)? Resolve license fit (homelab, non-commercial is fine),
ROCm/gfx1201 compatibility, and realistic VRAM (fp16/fp8/GGUF) against the
~32GB ceiling — not the ~6GB one. Output: one recommended model + precision,
citing primary sources.
Recommend Qwen-Image at FP8 precision (~25GB: fp8 diffusion weights + fp8 text encoder) as the upgrade from FLUX.1-schnell now that the full ~32GB is available. It has the cleanest license (Apache-2.0, no restrictions) and is the only candidate with a ComfyUI workflow pre-validated specifically on this GPU architecture (gfx1201/R9700, via kyuz0/amd-r9700-comfy). HunyuanImage-3.0 is ruled out (CUDA-only, multi-GPU datacenter VRAM floor); Krea-2 is promising but too new for R9700-specific field evidence yet. Full writeup: docs/research/image-generation-model-choice.md