§01·tested · /gpus/rtx-3090-ti
Recipes tested on RTX 3090 Ti
22 community-tested setups — recipes and guides whose author ran them on this exact card.
nvidia30 series24GB VRAM
- imageintermediate20GB+recipe
HiDream-O1-Image Full BF16 on RTX 3090 Ti: 2048×2048 Text-to-Image in ComfyUI
- imageintermediate18GB+recipe
LongCat-Image (base T2I) on RTX 3090 Ti: Bilingual 6B Text-to-Image via diffusers BF16 + CPU Offload
- videointermediate14GB+recipe
LightX2V on RTX 3090 Ti: 4-Step Text-to-Video with Distilled Wan2.1-14B via INT8 / BF16 Offload
- videointermediate14GB+recipe
CogVideoX 1.5 5B on RTX 3090 Ti: 1360x768 Text-to-Video with Diffusers
- videointermediate24GB+recipe
Wan 2.2 TI2V-5B on RTX 3090 Ti: 720p Text/Image-to-Video in ComfyUI
- videointermediate24GB+recipe
Wan 2.2 T2V-A14B on RTX 3090 Ti: 720p text-to-video in ComfyUI with FP8 weights (Ampere)
- videointermediate22GB+recipe
Mochi 1 on RTX 3090 Ti: 85-frame 480p Text-to-Video with Diffusers
- videointermediate24GB+recipe
HunyuanVideo-1.5 on RTX 3090 Ti: 480p Step-Distilled Image-to-Video on the Same Razor-Thin 24 GB Envelope
- imagebeginner13GB+recipe
Flux.2 Klein 4B on RTX 3090 Ti: BFL-Recommended ~13 GB CPU-Offload Path for 4-Step Text-to-Image
- 3dintermediate12GB+recipe
Waypoint 1.5 on RTX 3090 Ti: Real-Time Interactive World Model at 720p, ~32 FPS
- multimodalbeginner20GB+recipe
Gemma 4 E4B on RTX 3090 Ti: Multimodal Inference via BF16 (with 16 GB of Headroom to Spend)
- llmintermediate18GB+recipe
Gemma 4 26B A4B-it on RTX 3090 Ti: Local Multimodal Chat via Q4_K_M GGUF + llama.cpp
- llmbeginner12GB+recipe
DeepSeek-R1-Distill-Qwen-14B on RTX 3090 Ti via Ollama Q4_K_M GGUF
- llmbeginner10GB+recipe
Llama 3.1 8B on RTX 3090 Ti: Local Chat via llama.cpp + Unsloth UD-Q4_K_XL GGUF
- imageintermediate24GB+recipe
Chroma1-Base (V48) on RTX 3090 Ti: Uncensored 8.9B FLUX.1-Schnell De-Distillation via Diffusers BF16
- imageintermediate13GB+recipe
Qwen-Image on RTX 3090 Ti: 20B Text-to-Image via ComfyUI GGUF (Ampere Path — No FP8)
- imageintermediate16GB+recipe
Juggernaut Z on RTX 3090 Ti: Cinematic Photoreal Fine-Tune of Z-Image Base at BF16 via Diffusers or ComfyUI
- llmintermediate22GB+recipe
Qwen3-32B on RTX 3090 Ti: UD-Q4_K_XL GGUF via llama.cpp
- llmbeginner10GB+recipe
Qwen3-14B on RTX 3090 Ti: Q4_K_M GGUF via Ollama or llama.cpp
- llmbeginner16GB+recipe
gpt-oss 20B on RTX 3090 Ti: MXFP4 Chat at 160 tok/s via Ollama or vLLM
- imagebeginner16GB+recipe
Z-Image Turbo on RTX 3090 Ti: 8-Step 1024x1024 Text-to-Image at BF16 in ~6.7s with Diffusers or ComfyUI
- llmbeginner6GB+recipe
Qwen3-8B on RTX 3090 Ti: Q4_K_M GGUF with 18 GB of Headroom for Colocation or Long Context