NVIDIA GeForce RTX 4060 8GB for FLUX.1-schnell (GGUF Q4_K_S): Local AI VRAM Math & Logen 1.4.0 Settings
Yes, with sequential text-encoder offload. Full simultaneous residency for FLUX.1-schnell (GGUF Q4_K_S) totals 10.4 GB on Windows 10/11 (-2.40 GB vs 8 GB dedicated VRAM). Logen 1.4.0 unloads the 1.2 GB text encoder to system RAM before diffusion sampling, dropping active GPU allocation to 9.2 GB ([Verified Mathematical]).
1. Hardware & Checkpoint Specification Matrix (12+ Verified Attributes)
Efficient 115W Ada Lovelace card with 8 GB GDDR6 on a 128-bit bus (272 GB/s) and 24 MB L2 cache. On 8 GB cards, sequential text-encoder offload keeps active sampling inside physical memory. 12B parameter rectified-flow transformer quantized to GGUF Q4_K_S. Ships as the default starter model in Logen Free (£0) and generates 1024×1024 images in 4 steps.
| Attribute | Value | Engineering & Epistemic Notes |
|---|---|---|
| 1. GPU Architecture | Ada Lovelace (AD107) | [Verified] NVIDIA CUDA compute capability for x64 Windows & Linux |
| 2. Dedicated GPU VRAM | 8.0 GB GDDR6/GDDR6X | [Verified] Physical on-card video memory |
| 3. Memory Bus Width | 128-bit | [Verified] Hardware memory interface width |
| 4. Memory Bandwidth | 272.0 GB/s | [Verified] Determines per-step diffusion tensor throughput |
| 5. CUDA Cores | 3,072 | [Verified] Shading & FP16/BF16/INT8 compute units |
| 6. Graphics Card TDP | 115 W | [Verified] Rated board power draw under full load |
| 7. Model Weight File Size | 6.80 GB (GGUF Q4_K_S (4-bit quantized transformer)) | [Verified] Exact disk & VRAM checkpoint footprint |
| 8. Active Text Encoder Footprint | 1.20 GB | [Verified] Prompt encoding buffer (unloaded before sampling in low-VRAM mode) |
| 9. VAE + OS Display Reserve | 0.90 GB VAE + 1.50 GB Win WDDM (0.80 GB Linux) | [Verified] Latent decode + desktop compositor reserve |
| 10. Mathematical VRAM Headroom | -2.40 GB (Win) / -1.70 GB (Linux) | [Verified Mathematical]: 8.0 - (6.8 + 1.2 + 0.9 + 1.5) |
| 11. Fit Verdict State | FITS_WITH_SEQUENTIAL_ENCODER_OFFLOAD | Sequential offload headroom on Windows: -1.20 GB |
| 12. Recommended Logen 1.4.0 Preset | flux_schnell_txt2img (1024×1024, 4 steps, CFG 1.0) | Logen Free (£0 forever) · Upstream license: Apache-2.0 (Commercial use permitted) |
| 13. Physical Benchmark Reference | Not physically timed on NVIDIA GeForce RTX 4060 8GB (RTX A2000 12GB reference: 26.83s (4 steps at 1024×1024, ~6.71s/step)) | [Verified Mathematical] Peak VRAM is 10.4 GB on Windows 10/11 (-2.40 GB full-resident headroom; -1.20 GB headroom when ComfyUI unloads the 1.2 GB text encoder before sampling). [Inferred from Memory Bandwidth Ratio] NVIDIA GeForce RTX 4060 8GB provides 272.0 GB/s bandwidth (0.94x the 288 GB/s RTX A2000 12GB reference card timed at 26.83s (4 steps at 1024×1024, ~6.71s/step)). |
2. Deterministic VRAM Waterfall Breakdown & WDDM Shared Memory Guardrail
Whether FLUX.1-schnell (GGUF Q4_K_S) runs at full GDDR6 speed on your NVIDIA GeForce RTX 4060 8GB or stalls across the PCIe bus into system RAM is governed by exact arithmetic:
- Diffusion Weights (GGUF Q4_K_S (4-bit quantized transformer)): 6.80 GB
- Text Encoder Active Allocation: 1.20 GB
- 1024×1024 VAE Decode & Activation Buffer: 0.90 GB
- Windows 10/11 WDDM Display Reserve: 1.50 GB (Linux x64 reserve: 0.80 GB)
- Net Full-Resident Headroom: -2.40 GB on Windows 10/11 (-1.70 GB on Linux x64)
Why Windows Shared GPU Memory Matters: On Windows 10 and Windows 11, Task Manager displays both Dedicated GPU Memory (8 GB on NVIDIA GeForce RTX 4060 8GB) and Shared GPU Memory (system DDR4/DDR5 RAM). If background apps or an un-evicted Ollama chat model push peak allocation past 8 GB, Windows pages tensors over PCIe and slows generation by 8x to 10x. Logen 1.4.0 prevents this automatically by sending keep_alive=0 to Ollama before ComfyUI starts sampling.
3. Interactive PC & Model Fit Calculator
Calculate Exact Dedicated VRAM Headroom on Windows 10/11 & Linux x64
Select your NVIDIA graphics card, diffusion model, operating system, and target resolution to compute deterministic peak VRAM usage before you download weights.
Formula: Dedicated_VRAM (12.0 GB) – [Weights (6.8 GB) + Encoder (1.2 GB) + VAE Buffer (0.9 GB) + OS Reserve (1.5 GB)] = +1.60 GB available headroom.
4. Exact Recommended Logen 1.4.0 Two-Column Studio Preset
Use these verified studio parameters inside Logen 1.4.0 on 64-bit Windows 10/11 or 64-bit Linux (macOS is not supported):
| Studio Parameter | Recommended Setting | Purpose |
|---|---|---|
| Workflow Pipeline ID | flux_schnell_txt2img | Pre-wired inside Logen 1.4.0 Two-Column Workflow Studio |
| Native Output Resolution | 1024x1024 | Optimal rectified-flow aspect ratio (upscale to 4K via esrgan_upscale) |
| Sampling Steps | 4 | Distilled timestep schedule |
| CFG Guidance Scale | 1.0 | Prevents latent saturation and NaN black outputs |
| Sampler & Scheduler | euler / simple | Deterministic convergence without extra step overhead |
| Text Encoder Residency | Sequential CPU/RAM Encoder Offload (16 GB System RAM recommended) | Managed automatically by Logen 1.4.0 runtime |
| Batch Size Limit | 1 image per pass (Sequential Encoder Offload Active) | Prevents WDDM shared memory spillover |
| Ollama Chat Memory Eviction | Automatic keep_alive=0 eviction before diffusion sampling | Frees 5-6 GB of LLM VRAM before diffusion starts |
5. Compare All Models on NVIDIA GeForce RTX 4060 8GB
| Model Checkpoint | Weights | Win Peak VRAM | Headroom | Verdict State | Logen Tier |
|---|---|---|---|---|---|
| FLUX.1-schnell (GGUF Q4_K_S) (Current Page) | 6.8 GB | 10.4 GB | -2.40 GB | FITS_WITH_SEQUENTIAL_ENCODER_OFFLOAD | Logen Free (£0 forever) |
| FLUX.2 [klein] 4B (FP8 / Q8_0) | 4.3 GB | 7.7 GB | +0.30 GB | FITS_WITH_SEQUENTIAL_ENCODER_OFFLOAD | Logen Pro (£49 one-time license) |
| Z-Image-Turbo 6B (INT8) | 6.2 GB | 9.7 GB | -1.70 GB | FITS_WITH_SEQUENTIAL_ENCODER_OFFLOAD | Logen Pro (£49 one-time license) |
Compare FLUX.1-schnell (GGUF Q4_K_S) Across Other NVIDIA GPUs
| NVIDIA GPU | VRAM & Bandwidth | Full-Resident Headroom | Sequential Offload Headroom | Truth Tier |
|---|---|---|---|---|
| NVIDIA RTX A2000 12GB | 12 GB (192-bit, 288 GB/s) | +1.60 GB | +2.80 GB | [Verified Measured] |
| NVIDIA GeForce RTX 3060 12GB | 12 GB (192-bit, 360 GB/s) | +1.60 GB | +2.80 GB | [Verified Mathematical] |
| NVIDIA GeForce RTX 4060 8GB (Current Page) | 8 GB (128-bit, 272 GB/s) | -2.40 GB | -1.20 GB | [Verified Mathematical] |
| NVIDIA GeForce RTX 4070 12GB | 12 GB (192-bit, 504 GB/s) | +1.60 GB | +2.80 GB | [Verified Mathematical] |
| NVIDIA GeForce RTX 3070 8GB | 8 GB (256-bit, 448 GB/s) | -2.40 GB | -1.20 GB | [Verified Mathematical] |
Running into standalone ComfyUI or Ollama errors? Visit the Local AI & ComfyUI Error Troubleshooting Reference or return to the GPU & VRAM Compatibility Hub.
6. Technical FAQ: NVIDIA GeForce RTX 4060 8GB + FLUX.1-schnell (GGUF Q4_K_S)
Can the NVIDIA GeForce RTX 4060 8GB run FLUX.1-schnell (GGUF Q4_K_S) at 1024×1024 without running out of VRAM?
Yes, with sequential text-encoder offload. Full simultaneous residency for FLUX.1-schnell (GGUF Q4_K_S) totals 10.4 GB on Windows 10/11 (-2.40 GB vs 8 GB dedicated VRAM). Logen 1.4.0 unloads the 1.2 GB text encoder to system RAM before diffusion sampling, dropping active GPU allocation to 9.2 GB ([Verified Mathematical]). Logen 1.4.0 also evicts idle Ollama chat weights before starting ComfyUI so background LLM allocations do not push the NVIDIA GeForce RTX 4060 8GB into slow Windows WDDM shared system memory.
What are the recommended Logen 1.4.0 studio settings for FLUX.1-schnell (GGUF Q4_K_S) on an NVIDIA GeForce RTX 4060 8GB?
Select workflow flux_schnell_txt2img at 1024×1024, 4 sampling steps, CFG 1.0, sampler euler, and scheduler simple. FLUX.1-schnell (GGUF Q4_K_S) is included in Logen Free (£0 forever) and carries the Apache-2.0 (Commercial use permitted) license.
How fast does FLUX.1-schnell (GGUF Q4_K_S) generate on NVIDIA GeForce RTX 4060 8GB compared to the RTX A2000 12GB benchmark?
[Verified Mathematical] Peak VRAM is 10.4 GB on Windows 10/11 (-2.40 GB full-resident headroom; -1.20 GB headroom when ComfyUI unloads the 1.2 GB text encoder before sampling). [Inferred from Memory Bandwidth Ratio] NVIDIA GeForce RTX 4060 8GB provides 272.0 GB/s bandwidth (0.94x the 288 GB/s RTX A2000 12GB reference card timed at 26.83s (4 steps at 1024×1024, ~6.71s/step)). Logen 1.4.0 supports 64-bit Windows 10/11 and 64-bit Linux only; macOS is not supported.
Run FLUX.1-schnell (GGUF Q4_K_S) on your NVIDIA GeForce RTX 4060 8GB without wiring ComfyUI nodes.
Logen 1.4.0 installs an isolated Python environment, ComfyUI, and quantized starter weights automatically on Windows 10/11 x64 and Linux x64.