[Verified Mathematical] FITS_WITH_SEQUENTIAL_ENCODER_OFFLOAD Logen Pro (£49 one-time license)

NVIDIA GeForce RTX 4060 8GB for FLUX.2 [klein] 4B (FP8 / Q8_0): Local AI VRAM Math & Logen 1.4.0 Settings

ANSWER-FIRST VERDICT (Fits in Dedicated VRAM (Tight Headroom))

Yes, with sequential text-encoder offload. Full simultaneous residency for FLUX.2 [klein] 4B (FP8 / Q8_0) totals 7.7 GB on Windows 10/11 (+0.30 GB vs 8 GB dedicated VRAM). Logen 1.4.0 unloads the 1.1 GB text encoder to system RAM before diffusion sampling, dropping active GPU allocation to 6.6 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. Compact 4-billion-parameter rectified-flow checkpoint designed for rapid 4-step iteration, low VRAM footprint, and commercial asset production in Logen Pro.

Attribute Value Engineering & Epistemic Notes
1. GPU ArchitectureAda Lovelace (AD107)[Verified] NVIDIA CUDA compute capability for x64 Windows & Linux
2. Dedicated GPU VRAM8.0 GB GDDR6/GDDR6X[Verified] Physical on-card video memory
3. Memory Bus Width128-bit[Verified] Hardware memory interface width
4. Memory Bandwidth272.0 GB/s[Verified] Determines per-step diffusion tensor throughput
5. CUDA Cores3,072[Verified] Shading & FP16/BF16/INT8 compute units
6. Graphics Card TDP115 W[Verified] Rated board power draw under full load
7. Model Weight File Size4.30 GB (FP8 / GGUF Q8_0 compact 4B architecture)[Verified] Exact disk & VRAM checkpoint footprint
8. Active Text Encoder Footprint1.10 GB[Verified] Prompt encoding buffer (unloaded before sampling in low-VRAM mode)
9. VAE + OS Display Reserve0.80 GB VAE + 1.50 GB Win WDDM (0.80 GB Linux)[Verified] Latent decode + desktop compositor reserve
10. Mathematical VRAM Headroom+0.30 GB (Win) / +1.00 GB (Linux)[Verified Mathematical]: 8.0 - (4.3 + 1.1 + 0.8 + 1.5)
11. Fit Verdict StateFITS_WITH_SEQUENTIAL_ENCODER_OFFLOADSequential offload headroom on Windows: +1.40 GB
12. Recommended Logen 1.4.0 Presetflux2_klein_txt2img (1024×1024, 4 steps, CFG 1.0)Logen Pro (£49 one-time license) · Upstream license: Apache-2.0 (Commercial use permitted)
13. Physical Benchmark ReferenceNot physically timed on NVIDIA GeForce RTX 4060 8GB (RTX A2000 12GB reference: ~8.0s (4 steps at 1024×1024, ~2.0s/step))[Verified Mathematical] Peak VRAM is 7.7 GB on Windows 10/11 (+0.30 GB full-resident headroom; +1.40 GB headroom when ComfyUI unloads the 1.1 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 ~8.0s (4 steps at 1024×1024, ~2.0s/step)).

2. Deterministic VRAM Waterfall Breakdown & WDDM Shared Memory Guardrail

Whether FLUX.2 [klein] 4B (FP8 / Q8_0) 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:

Windows 10/11 Peak Allocation: 7.70 GB / 8.00 GB Dedicated VRAM (96%) Sequential Offload Peak: 6.60 GB
  • Diffusion Weights (FP8 / GGUF Q8_0 compact 4B architecture): 4.30 GB
  • Text Encoder Active Allocation: 1.10 GB
  • 1024×1024 VAE Decode & Activation Buffer: 0.80 GB
  • Windows 10/11 WDDM Display Reserve: 1.50 GB (Linux x64 reserve: 0.80 GB)
  • Net Full-Resident Headroom: +0.30 GB on Windows 10/11 (+1.00 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

INTERACTIVE PC & MODEL FIT CALCULATOR (TRUTH CONTRACT MATH)

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.

VERDICT STATE FITS_IN_VRAM_COMFORTABLE (+1.60 GB Headroom)
EPISTEMIC TIER [Verified Measured]
Dedicated VRAM 12.00 GB
Peak Full-Resident Load 10.40 GB
Sequential Offload Load 9.20 GB
Benchmark / Bandwidth Note 26.83s (4 steps on RTX A2000 12GB)

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 IDflux2_klein_txt2imgPre-wired inside Logen 1.4.0 Two-Column Workflow Studio
Native Output Resolution1024x1024Optimal rectified-flow aspect ratio (upscale to 4K via esrgan_upscale)
Sampling Steps4Distilled timestep schedule
CFG Guidance Scale1.0Prevents latent saturation and NaN black outputs
Sampler & Schedulereuler / simpleDeterministic convergence without extra step overhead
Text Encoder ResidencySequential CPU/RAM Encoder Offload (16 GB System RAM recommended)Managed automatically by Logen 1.4.0 runtime
Batch Size Limit1 image per pass in VRAM (up to 8 sequential in Logen Pro)Prevents WDDM shared memory spillover
Ollama Chat Memory EvictionAutomatic keep_alive=0 eviction before diffusion samplingFrees 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)6.8 GB10.4 GB-2.40 GBFITS_WITH_SEQUENTIAL_ENCODER_OFFLOADLogen Free (£0 forever)
FLUX.2 [klein] 4B (FP8 / Q8_0) (Current Page)4.3 GB7.7 GB+0.30 GBFITS_WITH_SEQUENTIAL_ENCODER_OFFLOADLogen Pro (£49 one-time license)
Z-Image-Turbo 6B (INT8)6.2 GB9.7 GB-1.70 GBFITS_WITH_SEQUENTIAL_ENCODER_OFFLOADLogen Pro (£49 one-time license)

Compare FLUX.2 [klein] 4B (FP8 / Q8_0) Across Other NVIDIA GPUs

NVIDIA GPU VRAM & Bandwidth Full-Resident Headroom Sequential Offload Headroom Truth Tier
NVIDIA RTX A2000 12GB12 GB (192-bit, 288 GB/s)+4.30 GB+5.40 GB[Verified Measured]
NVIDIA GeForce RTX 3060 12GB12 GB (192-bit, 360 GB/s)+4.30 GB+5.40 GB[Verified Mathematical]
NVIDIA GeForce RTX 4060 8GB (Current Page)8 GB (128-bit, 272 GB/s)+0.30 GB+1.40 GB[Verified Mathematical]
NVIDIA GeForce RTX 4070 12GB12 GB (192-bit, 504 GB/s)+4.30 GB+5.40 GB[Verified Mathematical]
NVIDIA GeForce RTX 3070 8GB8 GB (256-bit, 448 GB/s)+0.30 GB+1.40 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.2 [klein] 4B (FP8 / Q8_0)

Can the NVIDIA GeForce RTX 4060 8GB run FLUX.2 [klein] 4B (FP8 / Q8_0) at 1024×1024 without running out of VRAM?

Yes, with sequential text-encoder offload. Full simultaneous residency for FLUX.2 [klein] 4B (FP8 / Q8_0) totals 7.7 GB on Windows 10/11 (+0.30 GB vs 8 GB dedicated VRAM). Logen 1.4.0 unloads the 1.1 GB text encoder to system RAM before diffusion sampling, dropping active GPU allocation to 6.6 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.2 [klein] 4B (FP8 / Q8_0) on an NVIDIA GeForce RTX 4060 8GB?

Select workflow flux2_klein_txt2img at 1024×1024, 4 sampling steps, CFG 1.0, sampler euler, and scheduler simple. FLUX.2 [klein] 4B (FP8 / Q8_0) is included in Logen Pro (£49 one-time license) and carries the Apache-2.0 (Commercial use permitted) license.

How fast does FLUX.2 [klein] 4B (FP8 / Q8_0) generate on NVIDIA GeForce RTX 4060 8GB compared to the RTX A2000 12GB benchmark?

[Verified Mathematical] Peak VRAM is 7.7 GB on Windows 10/11 (+0.30 GB full-resident headroom; +1.40 GB headroom when ComfyUI unloads the 1.1 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 ~8.0s (4 steps at 1024×1024, ~2.0s/step)). Logen 1.4.0 supports 64-bit Windows 10/11 and 64-bit Linux only; macOS is not supported.

LOGEN 1.4.0 DESKTOP STUDIO

Run FLUX.2 [klein] 4B (FP8 / Q8_0) 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.

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