OpenVINO

Image generation on CPU and iGPU of Intel Core i7 1355U (power limits 35/55W) with 96GB DDR5 RAM using SD.Next + openvino

CPU

GPU

dreamshaper_8

512x512

DevOps > Test 9 - SD.Next on i7 1355U > autumn_elf-dreamshaper_8_-Steps40-CFG5-CPU-512px.jpg

Prompt: VibrantlySharp style, 3pic_vist4, animeniji, in a soft-focus painterly concept art style Upper body profile view, autumn dryad elf adorned in translucent red foliage and bark-textured silk, wind animating her hair and dress into motion, background: ancient twilight forest, distant amber sunlight diffused through fog and drifting leaves.

Time: 5m 25.51s | pipeline 316.75 decode 8.47 preview 0.96 move 0.28 prompt 0.27 | RAM 8.98 GB 10%

Prompt: VibrantlySharp style, 3pic_vist4, animeniji, in a soft-focus painterly concept art style Upper body profile view, autumn dryad elf adorned in translucent red foliage and bark-textured silk, wind animating her hair and dress into motion, background: ancient twilight forest, distant amber sunlight diffused through fog and drifting leaves.

Time: 51.34s | pipeline 42.56 decode 8.47 move 0.30 prompt 0.30 | RAM 7.02 GB 7%

768x768

Prompt: VibrantlySharp style, 3pic_vist4, animeniji, in a soft-focus painterly concept art style Upper body profile view, autumn dryad elf adorned in translucent red foliage and bark-textured silk, wind animating her hair and dress into motion, background: ancient twilight forest, distant amber sunlight diffused through fog and drifting leaves.

Time: 12m 12.06s | pipeline 712.83 decode 18.90 preview 0.82 move 0.31 prompt 0.30 | RAM 12.85 GB 14%

Prompt: VibrantlySharp style, 3pic_vist4, animeniji, in a soft-focus painterly concept art style Upper body profile view, autumn dryad elf adorned in translucent red foliage and bark-textured silk, wind animating her hair and dress into motion, background: ancient twilight forest, distant amber sunlight diffused through fog and drifting leaves.

Time: 3m 45.13s | pipeline 203.67 decode 21.43 preview 1.74 | RAM 7.65 GB 8%

1024x1024

[GPU] Exceeded max size of memory object allocation: requested 8589934592 bytes, but max alloc size supported by device is 4294959104 bytes.Please try to reduce batch size or use lower precision.

juggernautXL
_juggXIByRundiffusion

[33e58e8668]

512x512

Prompt: VibrantlySharp style, 3pic_vist4, animeniji, in a soft-focus painterly concept art style Upper body profile view, autumn dryad elf adorned in translucent red foliage and bark-textured silk, wind animating her hair and dress into motion, background: ancient twilight forest, distant amber sunlight diffused through fog and drifting leaves.

Time: 4m 50.93s | pipeline 268.66 decode 19.12 move 2.62 prompt 2.61 prepare 0.52 preview 0.51 | RAM 38.08 GB 41%

DevOps > Test 9 - SD.Next on i7 1355U > juggernautXL-512px-GPU.jpg

Prompt: VibrantlySharp style, 3pic_vist4, animeniji, in a soft-focus painterly concept art style Upper body profile view, autumn dryad elf adorned in translucent red foliage and bark-textured silk, wind animating her hair and dress into motion, background: ancient twilight forest, distant amber sunlight diffused through fog and drifting leaves.

Time: 1m 55.95s | pipeline 97.78 decode 15.76 move 2.39 prompt 2.38 | RAM 21.07 GB 22%

1024x1024

Prompt: VibrantlySharp style, 3pic_vist4, animeniji, in a soft-focus painterly concept art style Upper body profile view, autumn dryad elf adorned in translucent red foliage and bark-textured silk, wind animating her hair and dress into motion, background: ancient twilight forest, distant amber sunlight diffused through fog and drifting leaves.

Time: 19m 16.57s | pipeline 1079.19 decode 77.33 preview 0.94 | RAM 59.97 GB 64%

DevOps > Test 9 - SD.Next on i7 1355U > juggernautXL-1024px-GPU.jpg

Prompt: VibrantlySharp style, 3pic_vist4, animeniji, in a soft-focus painterly concept art style Upper body profile view, autumn dryad elf adorned in translucent red foliage and bark-textured silk, wind animating her hair and dress into motion, background: ancient twilight forest, distant amber sunlight diffused through fog and drifting leaves.

Time: 5m 0.59s | pipeline 252.54 decode 48.01 | RAM 21.81 GB 23%

2048x2048

96GB RAM + 16GB SWAP

after 2 hours and 48 minutes of image generation (Step 20/20 1h:49m:18s)

[12486.386048] Out of memory: Killed process 1753 (python) total-vm:135643124kB, anon-rss:97618012kB, file-rss:3008kB, shmem-rss:0kB, UID:1000 pgtables:240656kB oom_score_adj:0

infinite running

[16098.406688] INFO: task python3:17735 blocked for more than 122 seconds.
[16098.406704] Not tainted 6.11.0-26-generic #26~24.04.1-Ubuntu

juggernaut_reborn [338b85bc4f]

1024x1024

DevOps > Test 9 - SD.Next on i7 1355U > Buterfly-CPU-1024px.jpg

Prompt: Featured here is the Asian swallowtail, beautifully captured on a red spider lily. Found across Northeast Asia and even parts of Hawaii, this striking butterfly is known for its vivid colouration and powerful flight, making it a frequent visitor to both urban gardens and wild habitats. While it is common and not currently threatened, its role as a pollinator is no less important. The Asian swallowtail uses sophisticated colour vision and colour constancy to identify flowers, especially those in the citrus family, even under changing light conditions. This remarkable ability allows it to remain an effective pollinator across a wide range of environments. Delicate yet determined, the Asian swallowtail reminds us that even the smallest pollinators play a big role in keeping nature balanced and beautiful.

Time: 17m 1.30s | pipeline 945.21 decode 75.50 preview 1.60 move 0.55 prompt 0.54 | RAM 19.36 GB 21%

RuntimeError: Exception from src/inference/src/cpp/core.cpp:109:
Exception from src/inference/src/dev/plugin.cpp:53:
Check '!exceed_allocatable_mem_size' failed at src/plugins/intel_gpu/src/runtime/ocl/ocl_engine.cpp:142:
[GPU] Exceeded max size of memory object allocation: requested 8589934592 bytes, but max alloc size supported by device is 4294959104 bytes.Please try to reduce batch size or use lower precision.

768x768

DevOps > Test 9 - SD.Next on i7 1355U > Buterfly-CPU-768px.jpg

Prompt: Featured here is the Asian swallowtail, beautifully captured on a red spider lily. Found across Northeast Asia and even parts of Hawaii, this striking butterfly is known for its vivid colouration and powerful flight, making it a frequent visitor to both urban gardens and wild habitats. While it is common and not currently threatened, its role as a pollinator is no less important. The Asian swallowtail uses sophisticated colour vision and colour constancy to identify flowers, especially those in the citrus family, even under changing light conditions. This remarkable ability allows it to remain an effective pollinator across a wide range of environments. Delicate yet determined, the Asian swallowtail reminds us that even the smallest pollinators play a big role in keeping nature balanced and beautiful.

Time: 7m 5.52s | pipeline 384.68 decode 40.36 preview 1.26 move 0.46 prompt 0.46 | RAM 14.74 GB 16%

DevOps > Test 9 - SD.Next on i7 1355U > Buterfly-GPU-768px.jpg

Prompt: Featured here is the Asian swallowtail, beautifully captured on a red spider lily. Found across Northeast Asia and even parts of Hawaii, this striking butterfly is known for its vivid colouration and powerful flight, making it a frequent visitor to both urban gardens and wild habitats. While it is common and not currently threatened, its role as a pollinator is no less important. The Asian swallowtail uses sophisticated colour vision and colour constancy to identify flowers, especially those in the citrus family, even under changing light conditions. This remarkable ability allows it to remain an effective pollinator across a wide range of environments. Delicate yet determined, the Asian swallowtail reminds us that even the smallest pollinators play a big role in keeping nature balanced and beautiful.

Time: 2m 10.11s | pipeline 102.45 decode 27.63 preview 0.48 | RAM 5.93 GB 6%

stable-cascade

1024x1024

list index out of range

512x512

list index out of range

shuttleai/shuttle-3.1-aesthetic

512x512

Shape inference input shapes {[1],[4]} Requested output shape [1,24,4608,128] is incompatible with input shape Summary: -- No conversion rule found for operations: prim::ListConstruct -- Conversion is failed for: aten.view.default

System info

app: sdnext updated: 2025-06-16 hash: 72eb0132 url: https://github.com/vladmandic/sdnext/tree/master
arch: x86_64 cpu: x86_64 system: Linux release: 6.11.0-26-generic
python: 3.12.3
device: 13th Gen Intel(R) Core(TM) i7-1355U
openvino: 2025.1.0
ram: free:84.49 used:9.48 total:93.97
active: cpu dtype: torch.float32 vae: torch.float32
xformers: diffusers: 0.34.0.dev0 transformers: 4.52.4
base: juggernaut_reborn [338b85bc4f] refiner: None vae: Automatic te: Default unet: Default

app: sdnext updated: 2025-06-16 hash: 72eb0132 url: https://github.com/vladmandic/sdnext/tree/master
arch: x86_64 cpu: x86_64 system: Linux release: 6.11.0-26-generic
python: 3.12.3
device: Intel(R) Iris(R) Xe Graphics (iGPU)
openvino: 2025.1.0
ram: free:89.06 used:4.91 total:93.97 gpu: total:93.97
active: cpu dtype: torch.float32 vae: torch.float32
xformers: diffusers: 0.34.0.dev0 transformers: 4.52.4
base: juggernaut_reborn [338b85bc4f] refiner: None vae: Automatic te: Default unet: Default

Intel Xe more than 4GB allocation error

openvino [GPU] Exceeded max size of memory object allocation: requested 8589934592 bytes, but max alloc size supported by device is 4294959104 bytes.

error occurs because the GPU memory allocator in your 13th Gen Intel iGPU (Intel Xe Graphics) cannot handle the large memory request made by Stable Diffusion (SD.Next using OpenVINO). Specifically:

Requested: 8,589,934,592 bytes (~8GB)
Max allowed per allocation: 4,294,959,104 bytes (~4GB)

This is a hardware limitation of integrated Intel GPUs — they typically have a maximum buffer allocation size around 4GB, even if more shared memory is available overall.

🔧 How to Fix It

Here are ways to address this:

✅ 1. Reduce Batch Size

In the SD.Next interface:

Find the Batch size setting (not to be confused with "Batch count")
Set Batch size = 1 (this will reduce the single memory block size)

This is usually the most effective and easiest fix.

✅ 2. Use Lower Precision (FP16)

OpenVINO can support FP16 (half precision), which drastically reduces memory usage.

If you are using a model in FP32, try:

Converting your model to FP16
Or downloading an FP16 version of the model (if available)

Some UIs (like SD.Next, ComfyUI, or WebUI) allow selecting FP16 models directly or during import.

✅ 3. Use a Smaller Model

Stable Diffusion 1.5 requires less VRAM than SD 2.1 or SDXL.

Try:

Switching from SDXL → SD 1.5
Or using Lite versions of models if available (like "v1.5-pruned-emaonly" or "tiny" models)

✅ 4. Use CPU Instead (as fallback)

If the GPU is not sufficient, you can:

Select OpenVINO [CPU] backend
It will be slower but more compatible

Use this as a last resort if GPU execution isn't viable.

⚠️ Notes

This limitation is not something that can be bypassed by modifying system settings — it's enforced by the Intel OpenVINO GPU runtime and the GPU hardware.
SDXL and models with high-resolution pipelines or large attention layers are more likely to trigger this problem.

IPEX

Not work

app: sdnext
updated: 2025-06-19
hash: 7fc7797a
url: https://github.com/vladmandic/sdnext/tree/dev
arch: x86_64
cpu: x86_64
system: Linux
release: 6.11.0-26-generic
python: 3.12.3
2.7.1+xpu
2.7.1+xpu
ram: free:85.83 used:8.14 total:93.97

xformers: 
diffusers: 0.34.0.dev0
transformers: 4.52.4
active: xpu
dtype: torch.bfloat16
vae: torch.bfloat16
unet: torch.bfloat16
base: model.safetensors
refiner: None
vae: Automatic
te: Default
unet: Default