vae tiling improvements: encoding support and adaptative overlap #484

stduhpf · 2024-11-26T15:12:54Z

Added a mechanism to automatically fix the tile overlaps in cases of mismatch between image size and tile size.
Added a way to change tile size for VAE decoding with the SD_TILE_SIZE environment variable. (tile size for vae encoding will be about 1.3x bigger, for the same memory requirement)

With these changes, vae encoding can now be tiled, and a small (unreported?) issue with the upscaler (or tae) over-brightening some parts of the image is now fixed. This could also be a step toward tiled diffusion support.

Fixes #588, #564 and #666

Green-Sky · 2024-11-28T10:38:15Z

Added a mechanism to automatically fix the tile overlaps in cases of mismatch between image size and tile size.

With these changes, vae encoding can now be tiled, and a small (unreported?) issue with the upscaler over-brightening some parts of the image is now fixed. This could also be a step toward tiled diffusion support.

Nice! It would also be interesting to see larger tile sizes. Depending on VAE, larger tiles would still fit into the memory budget and would speed things up.

masamaru-san · 2025-02-13T04:34:52Z

I am not familiar with AI programming, and this is a machine translation, so please ignore me if I say something strange.

The last_x used in the loop at line 568 (or line 629 in this PR) in ggml_extend.hpp is only initialized outside the loop.
Locally, it seems that this PR with initializing last_x = false; before the for (int x = 0; ~ loop would improve the generation results.

However, the brightness issue (issue #588) seems to remain.

stduhpf · 2025-02-13T17:02:54Z

The last_x used in the loop at line 568 (or line 629 in this PR) in ggml_extend.hpp is only initialized outside the loop.
Locally, it seems that this PR with initializing last_x = false; before the for (int x = 0; ~ loop would improve the generation results.

I'm sorry, I don't quite understand what you mean. last_x is already set to false when the loop starts.

However, the brightness issue (issue #588) seems to remain.

You mean this PR doesn't fix it for you? If so this is strange, I can't reproduce the issue with this PR...

master	PR

As you can see the image made with the master branch is much brighter than the one with this PR.
(ignore the slight variation of the composition, it's just a little unrelated bug of the vulkan backend that happens at non standard resolutions, that's fixed by updating GGML)

masamaru-san · 2025-02-15T02:35:02Z

The last_x used in the loop at line 568 (or line 629 in this PR) in ggml_extend.hpp is only initialized outside the loop.
Locally, it seems that this PR with initializing last_x = false; before the for (int x = 0; ~ loop would improve the generation results.

I'm sorry, I don't quite understand what you mean. last_x is already set to false when the loop starts.

Umm.. Sometimes the bottom of the generated image is grayed out; this did not happen when I initialized last_x in the y-loop.

It could be caused by something else.

You mean this PR doesn't fix it for you? If so this is strange, I can't reproduce the issue with this PR...

I think I have misled you, but there is no doubt that this PR is very good, as you have demonstrated in your examples.
What I meant to say is that in your right cat PR image, for example, the position around the neck is slightly whiter than without vae-tiling; if it's a technical problem with the GGML backend or tiling (I usually use the vulkan backend), I'll find a better way.

stduhpf · 2025-02-15T13:32:17Z

Umm.. Sometimes the bottom of the generated image is grayed out; this did not happen when I initialized last_x in the y-loop. It could be caused by something else.

Hmm that's really weird. I don't see how this could happen. last_x is initialized to false before the loop (https://github.com/stduhpf/stable-diffusion.cpp/blob/d103632919ace8a6cc56326a684b56324fa6aaed/ggml_extend.hpp#L627), and it's always reset to false after the x-loop ends (https://github.com/stduhpf/stable-diffusion.cpp/blob/d103632919ace8a6cc56326a684b56324fa6aaed/ggml_extend.hpp#L658). This should be strictly equivalent to initializing it to false at the beginning of the y-loop...

I think I have misled you, but there is no doubt that this PR is very good, as you have demonstrated in your examples. What I meant to say is that in your right cat PR image, for example, the position around the neck is slightly whiter than without vae-tiling; if it's a technical problem with the GGML backend or tiling (I usually use the vulkan backend), I'll find a better way.

The result with tiled VAE is always going to be slightly lower quality than the full VAE, because it's lacking information about the whole image. (That's especially true with SD1.x/SD2.x models, because the VAE is quirky ). When using TAE (or with SDXL/SD3 or FLUX), the results are almost completely identical with the PR, while on master, there is the "overexposure" issue on the tiled TAE.

PR: vae	PR: tiled vae	absolute difference	absolute difference *2

(there is a lot of difference here, mostly because of the kl-f8 vae doesn't handle tiling very well)

PR: tae	PR: tiled tae	absolute difference	absolute difference *127

(these are almost identical however)

absolute difference between tae and vae	x2

(no tiling)

divVerent · 2025-04-25T20:38:30Z

I can't vouch for the new code being 100% correct, not knowing the code base, but the approach looks reasonable (but does it have to match how the upscaler model was trained, and if so, does it match? I do not know enough for that). But I can definitely vouch for the old code being incorrect. It assumes that tile overlap is equal in x and y direction, and that's unlikely assuming "somewhat arbitrary" total sizes and a fixed tile size.

And I can definitely confirm that #666 is fixed by this change - all five test cases pass (up from only the base case), and the more complex case I discovered this with appears to be fixed as well. Now the difference pictures from pre- and post-upscale pictures (after scaling both back to the same size) look like an edge detector without any noticeable artifacts/biases - precisely what's expected.

wbruna · 2025-08-02T19:56:22Z

@leejet , just to let you know: this PR has been included in Koboldcpp since a few releases ago (1.94 - 1.96.2) to fix #588, with no issues reported so far, so it should be safe to merge.

wbruna · 2025-09-06T12:05:12Z

@stduhpf , would you please rebase this onto master? There are a few conflicts due to the VAE changes for Wan support.

stduhpf · 2025-09-06T17:51:52Z

I haven't tested it, I know it builds fine, but I'm not sure if it actually works (I can't test it right now)

wbruna · 2025-09-06T18:13:47Z

I haven't tested it, I know it builds fine, but I'm not sure if it actually works (I can't test it right now)

No problem, I'll test it here.

wbruna

I've only noticed a single, very familiar issue 😀

stable-diffusion.cpp

stduhpf · 2025-09-08T11:10:40Z

Encode is also broken, fixing it

* refactor tile number calculation * support non-square tiles * add env var to change tile overlap * add safeguards and better error messages for SD_TILE_OVERLAP * add safeguards and include overlapping factor for SD_TILE_SIZE * avoid rounding issues when specifying SD_TILE_SIZE as a factor * lower SD_TILE_OVERLAP limit * zero-init empty output buffer

wbruna

Looking good, and working fine on a few tests. The only issue I notice was a crash on an invalid tile size (more detailed comments below).

wbruna · 2025-09-12T12:41:51Z

stable-diffusion.h

+    int tile_size_x;
+    int tile_size_y;
+    float target_overlap;
+    bool relative;


Perhaps this boolean could be dropped, and we apply the same logic as the command-line: if rel_size_ is bigger than 0.0, it overrides the tile_size_ ?

wbruna · 2025-09-12T12:56:03Z

stable-diffusion.cpp

        if (!use_tiny_autoencoder) {
+            float tile_overlap = vae_tiling_params.target_overlap;
+            int tile_size_x    = vae_tiling_params.tile_size_x;
+            int tile_size_y    = vae_tiling_params.tile_size_y;


A relative size of 0.0 applies a 4x4 tile (doesn't look good, but works); but a zeroed-out tile size crashes. Maybe an invalid value could just mean the default?

int tile_size_x = vae_tiling_params.tile_size_x < 4 ? 32 : vae_tiling_params.tile_size_x; int tile_size_y = vae_tiling_params.tile_size_y < 4 ? 32 : vae_tiling_params.tile_size_y;

Then we could also simplify the default values for the param struct, by using zeroed-out fields.

Same issue with the tile_overlap above.

stduhpf · 2025-09-12T13:47:30Z

Thanks for the review! I probably won't be able to work on these changes before tomorrow though.

* avoid crash with invalid tile sizes, use 0 for default * refactor default tile size, limit overlap factor * remove explicit parameter for relative tile size * limit encoding tile to latent size

leejet · 2025-09-14T07:58:29Z

I think this PR can be merged now. Thank you all for your contributions.

* docs: add sd.cpp-webui as an available frontend (leejet#738) * fix: correct head dim check and L_k padding of flash attention (leejet#736) * fix: convert f64 to f32 and i64 to i32 when loading weights * docs: add LocalAI to README's UIs (leejet#741) * sync: update ggml * sync: update ggml * feat: upgrade musa sdk to rc4.2.0 (leejet#732) * feat: change image dimensions requirement for DiT models (leejet#742) * feat: add missing models and parameters to image metadata (leejet#743) * feat: add new scheduler types, clip skip and vae to image embedded params - If a non default scheduler is set, include it in the 'Sampler' tag in the data embedded into the final image. - If a custom VAE path is set, include the vae name (without path and extension) in embedded image params under a `VAE:` tag. - If a custom Clip skip is set, include that Clip skip value in embedded image params under a `Clip skip:` tag. * feat: add separate diffusion and text models to metadata --------- Co-authored-by: one-lithe-rune <skapusniak@lithe-runes.com> * refector: optimize the usage of tensor_types * feat: support build against system installed GGML library (leejet#749) * chore: avoid setting GGML_MAX_NAME when building against external ggml (leejet#751) An external ggml will most likely have been built with the default GGML_MAX_NAME value (64), which would be inconsistent with the value set by our build (128). That would be an ODR violation, and it could easily cause memory corruption issues due to the different sizeof(struct ggml_tensor) values. For now, when linking against an external ggml, we demand it has been patched with a bigger GGML_MAX_NAME, since we can't check against a value defined only at build time. * Conv2D direct support (leejet#744) * Conv2DDirect for VAE stage * Enable only for Vulkan, reduced duplicated code * Cmake option to use conv2d direct * conv2d direct always on for opencl * conv direct as a flag * fix merge typo * Align conv2d behavior to flash attention's * fix readme * add conv2d direct for controlnet * add conv2d direct for esrgan * clean code, use enable_conv2d_direct/get_all_blocks * format code --------- Co-authored-by: leejet <leejet714@gmail.com> * sync: update ggml, make cuda im2col a little faster * chore: add Nvidia 30 series (cuda arch 86) to build * feat: throttle model loading progress updates (leejet#782) Some terminals have slow display latency, so frequent output during model loading can actually slow down the process. Also, since tensor loading times can vary a lot, the progress display now shows the average across past iterations instead of just the last one. * docs: add missing dash to docs/chroma.md (leejet#771) * docs: add compile option needed by Ninja (leejet#770) * feat: show usage on unknown arg (leejet#767) * fix: typo in the verbose long flag (leejet#783) * feat: add wan2.1/2.2 support (leejet#778) * add wan vae suppport * add wan model support * add umt5 support * add wan2.1 t2i support * make flash attn work with wan * make wan a little faster * add wan2.1 t2v support * add wan gguf support * add offload params to cpu support * add wan2.1 i2v support * crop image before resize * set default fps to 16 * add diff lora support * fix wan2.1 i2v * introduce sd_sample_params_t * add wan2.2 t2v support * add wan2.2 14B i2v support * add wan2.2 ti2v support * add high noise lora support * sync: update ggml submodule url * avoid build failure on linux * avoid build failure * update ggml * update ggml * fix sd_version_is_wan * update ggml, fix cpu im2col_3d * fix ggml_nn_attention_ext mask * add cache support to ggml runner * fix the issue of illegal memory access * unify image loading processing * add wan2.1/2.2 FLF2V support * fix end_image mask * update to latest ggml * add GGUFReader * update docs * feat: add support for timestep boundary based automatic expert routing in Wan MoE (leejet#779) * Wan MoE: Automatic expert routing based on timestep boundary * unify code style and fix some issues --------- Co-authored-by: leejet <leejet714@gmail.com> * feat: add flow shift parameter (for SD3 and Wan) (leejet#780) * Add flow shift parameter (for SD3 and Wan) * unify code style and fix some issues --------- Co-authored-by: leejet <leejet714@gmail.com> * docs: update docs and help message * chore: update to c++17 * docs: update docs/wan.md * fix: add flash attn support check (leejet#803) * feat: support incrementing ref image index (omni-kontext) (leejet#755) * kontext: support ref images indices * lora: support x_embedder * update help message * Support for negative indices * support for OmniControl (offsets at index 0) * c++11 compat * add --increase-ref-index option * simplify the logic and fix some issues * update README.md * remove unused variable --------- Co-authored-by: leejet <leejet714@gmail.com> * feat: add detailed tensor loading time stat (leejet#793) * fix: clarify lora quant support and small fixes (leejet#792) * fix: accept NULL in sd_img_gen_params_t::input_id_images_path (leejet#809) * chore: update flash attention warnings (leejet#805) * fix: use {} for params init instead of memset (leejet#781) * chore: remove sd3 flash attention warn (leejet#812) * feat: use log_printf to print ggml logs (leejet#545) * chore: add install() support in CMakeLists.txt (leejet#540) * feat: add SmoothStep Scheduler (leejet#813) * feat: add sd3 flash attn support (leejet#815) * fix: make tiled VAE reuse the compute buffer (leejet#821) * feat: reduce CLIP memory usage with no embeddings (leejet#768) * fix: make weight override more robust against ggml changes (leejet#760) * fix: do not force VAE type to f32 on SDXL (leejet#716) This seems to be a leftover from the initial SDXL support: it's not enough to avoid NaN issues, and it's not not needed for the fixed sdxl-vae-fp16-fix . * feat: use Euler sampling by default for SD3 and Flux (leejet#753) Thank you for your contribution. * fix: harden for large files (leejet#643) * feat: Add SYCL Dockerfile (leejet#651) * feat: increase work_ctx memory buffer size (leejet#814) * docs: update docs * feat: add VAE encoding tiling support and adaptive overlap (leejet#484) * implement tiling vae encode support * Tiling (vae/upscale): adaptative overlap * Tiling: fix edge case * Tiling: fix crash when less than 2 tiles per dim * remove extra dot * Tiling: fix edge cases for adaptative overlap * tiling: fix edge case * set vae tile size via env var * vae tiling: refactor again, base on smaller buffer for alignment * Use bigger tiles for encode (to match compute buffer size) * Fix edge case when tile is bigger than latent * non-square VAE tiling (#3) * refactor tile number calculation * support non-square tiles * add env var to change tile overlap * add safeguards and better error messages for SD_TILE_OVERLAP * add safeguards and include overlapping factor for SD_TILE_SIZE * avoid rounding issues when specifying SD_TILE_SIZE as a factor * lower SD_TILE_OVERLAP limit * zero-init empty output buffer * Fix decode latent size * fix encode * tile size params instead of env * Tiled vae parameter validation (#6) * avoid crash with invalid tile sizes, use 0 for default * refactor default tile size, limit overlap factor * remove explicit parameter for relative tile size * limit encoding tile to latent size * unify code style and format code * update docs * fix get_tile_sizes in decode_first_stage --------- Co-authored-by: Wagner Bruna <wbruna@users.noreply.github.com> Co-authored-by: leejet <leejet714@gmail.com> * feat: add vace support (leejet#819) * add wan vace t2v support * add --vace-strength option * add vace i2v support * fix the processing of vace_context * add vace v2v support * update docs * feat: optimize tensor loading time (leejet#790) * opt tensor loading * fix build failure * revert the changes * allow the use of n_threads * fix lora loading * optimize lora loading * add mutex * use atomic * fix build * fix potential duplicate issue * avoid duplicate lookup of lora tensor * fix progeress bar * remove unused remove_duplicates --------- Co-authored-by: leejet <leejet714@gmail.com> * refactor: simplify the logic of pm id image loading (leejet#827) * feat: add sgm_uniform scheduler, simple scheduler, and support for NitroFusion (leejet#675) * feat: Add timestep shift and two new schedulers * update readme * fix spaces * format code * simplify SGMUniformSchedule * simplify shifted_timestep logic * avoid conflict --------- Co-authored-by: leejet <leejet714@gmail.com> * refactor: move tiling cacl and debug print into the tiling code branch (leejet#833) * refactor: simplify DPM++ (2S) Ancestral (leejet#667) * chore: set release tag by commit count * chore: fix workflow (leejet#836) * fix: avoid multithreading issues in the model loader * fix: avoid segfault for pix2pix models without reference images (leejet#766) * fix: avoid segfault for pix2pix models with no reference images * fix: default to empty reference on pix2pix models to avoid segfault * use resize instead of reserve * format code --------- Co-authored-by: leejet <leejet714@gmail.com> * refactor: remove unused --normalize-input parameter (leejet#835) * fix: correct tensor deduplication logic (leejet#844) * docs: include Vulkan compatibility for LoRA quants (leejet#845) * docs: HipBLAS / ROCm build instruction fix (leejet#843) * fix: tensor loading thread count (leejet#854) * fix: optimize the handling of CLIP embedding weight (leejet#840) * sync: update ggml * sync: update ggml * fix: optimize the handling of embedding weight (leejet#859) * feat: add support for Flux Controls and Flex.2 (leejet#692) * docs: update README.md (leejet#866) * chore: fix dockerfile libgomp1 dependency + improvements (leejet#852) * fix: ensure directory iteration results are sorted by filename (leejet#858) * chore: fix vulkan ci (leejet#878) * feat: add support for more esrgan models & x2 & x1 models (leejet#855) * feat: add a stand-alone upscale mode (leejet#865) * feat: add a stand-alone upscale mode * fix prompt option check * format code * update README.md --------- Co-authored-by: leejet <leejet714@gmail.com> * refactor: deal with default img-cfg-scale at the library level (leejet#869) * feat: add Qwen Image support (leejet#851) * add qwen tokenizer * add qwen2.5 vl support * mv qwen.hpp -> qwenvl.hpp * add qwen image model * add qwen image t2i pipeline * fix qwen image flash attn * add qwen image i2i pipline * change encoding of vocab_qwen.hpp to utf8 * fix get_first_stage_encoding * apply jeffbolz f32 patch leejet#851 (comment) * fix the issue that occurs when using CUDA with k-quants weights * optimize the handling of the FeedForward precision fix * to_add_out precision fix * update docs * fix: resolve VAE tiling problem in Qwen Image (leejet#873) * fix: avoid generating black images when running T5 on the GPU (leejet#882) * fix: correct canny preprocessor (leejet#861) * fix: better progress display for second-order samplers (leejet#834) * feat: add Qwen Image Edit support (leejet#877) * add ref latent support for qwen image * optimize clip_preprocess and fix get_first_stage_encoding * add qwen2vl vit support * add qwen image edit support * fix qwen image edit pipeline * add mmproj file support * support dynamic number of Qwen image transformer blocks * set prompt_template_encode_start_idx every time * to_add_out precision fix * to_out.0 precision fix * update docs --------- Co-authored-by: Daniele <57776841+daniandtheweb@users.noreply.github.com> Co-authored-by: Erik Scholz <Green-Sky@users.noreply.github.com> Co-authored-by: leejet <leejet714@gmail.com> Co-authored-by: Ettore Di Giacinto <mudler@users.noreply.github.com> Co-authored-by: R0CKSTAR <xiaodong.ye@mthreads.com> Co-authored-by: stduhpf <stephduh@live.fr> Co-authored-by: one-lithe-rune <skapusniak@lithe-runes.com> Co-authored-by: Seas0 <seashkey@gmail.com> Co-authored-by: NekopenDev <197017459+nekopendev@users.noreply.github.com> Co-authored-by: SmallAndSoft <45131567+SmallAndSoft@users.noreply.github.com> Co-authored-by: Markus Hartung <mail@hartmark.se> Co-authored-by: clibdev <52199778+clibdev@users.noreply.github.com> Co-authored-by: Richard Palethorpe <io@richiejp.com> Co-authored-by: rmatif <kingrealriadh@gmail.com> Co-authored-by: vmobilis <75476228+vmobilis@users.noreply.github.com> Co-authored-by: Stefan-Olt <stefan-oltmanns@gmx.net> Co-authored-by: Sharuzzaman Ahmat Raslan <sharuzzaman@gmail.com> Co-authored-by: Serkan Sahin <14278530+SergeantSerk@users.noreply.github.com> Co-authored-by: Pedrito <pedro.c.vfx@gmail.com>

stduhpf force-pushed the tiled-vae-encode branch from 9edc59f to af0491b Compare November 26, 2024 15:36

stduhpf changed the title ~~Implement vae tiling for encoding~~ vae tiling improvements: encoding support and adaptative overlap Nov 27, 2024

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stduhpf force-pushed the tiled-vae-encode branch from 5495c93 to e9a8d17 Compare December 8, 2024 01:06

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stduhpf mentioned this pull request Jan 10, 2025

VAE tiling seems to skip the last several tiles during processing #564

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stduhpf closed this Feb 15, 2025

stduhpf reopened this Feb 15, 2025

stduhpf mentioned this pull request Apr 25, 2025

Upscaling broken for non-512x512 images #666

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stduhpf force-pushed the tiled-vae-encode branch from d103632 to a3fabad Compare June 7, 2025 00:06

This was referenced Jun 13, 2025

Configurable VAE threshold limit LostRuins/koboldcpp#1601

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Chroma support (pruned Flux model) #696

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wbruna mentioned this pull request Aug 7, 2025

Can't use any sdxl lora with the OpenCL backend: GGML_ASSERT(src0->type == src1->type) failed #757

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wbruna suggested changes Sep 7, 2025

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stduhpf and others added 15 commits September 11, 2025 22:29

implement tiling vae encode support

751f501

Tiling (vae/upscale): adaptative overlap

b409c9c

Tiling: fix edge case

b340e42

Tiling: fix crash when less than 2 tiles per dim

22dac4f

remove extra dot

0dfd15a

Tiling: fix edge cases for adaptative overlap

687ee72

tiling: fix edge case

957f009

set vae tile size via env var

5054cf4

vae tiling: refactor again, base on smaller buffer for alignment

2af9294

Use bigger tiles for encode (to match compute buffer size)

f3349d0

Fix edge case when tile is bigger than latent

532aacb

Fix decode latent size

f08d696

fix encode

606976f

tile size params instead of env

987ced8

stduhpf force-pushed the tiled-vae-encode branch from 0a2b4e4 to 987ced8 Compare September 11, 2025 20:29

wbruna suggested changes Sep 12, 2025

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wbruna and others added 5 commits September 13, 2025 14:17

Tiled vae parameter validation (#6)

2995c92

* avoid crash with invalid tile sizes, use 0 for default * refactor default tile size, limit overlap factor * remove explicit parameter for relative tile size * limit encoding tile to latent size

unify code style and format code

6ef8594

Merge branch 'master' into tiled-vae-encode

a5fd24e

update docs

51248bc

fix get_tile_sizes in decode_first_stage

711cf74

leejet merged commit 2c9b1e2 into leejet:master Sep 14, 2025
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Green-Sky mentioned this pull request Sep 16, 2025

fix: move tiling cacl and debug print into the tiling code branch #833

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wbruna mentioned this pull request Sep 27, 2025

Running VAE Tiling with small TAESD buffer will crash #649

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vae tiling improvements: encoding support and adaptative overlap #484

vae tiling improvements: encoding support and adaptative overlap #484

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