Remove stray async task scratch outputs committed by mistake

This commit is contained in:
Daniel Han 2026-07-01 23:40:14 +00:00
commit 68cad1bfbf
108 changed files with 0 additions and 320 deletions

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- Decision: Used plan mode because `workflows/benchmarking_workflow.md` explicitly requires planning before benchmark execution.
- Decision: User selected full scope: `all 8 variants` and both `GGUF` and dense `safetensors` fp8/int8 paths.
- Decision: Chose a focused-comprehensive benchmark matrix of `44 configs` instead of an exhaustive `549-630-config` Cartesian product because the latter would require excessive downloads/GPU time and produce an unreadable table.
- Decision: Excluded `FLUX.2-klein-9B` from actual sweep after `snapshot_download` returned `GatedRepoError: 403 Client Error`; needs manual HF license acceptance.
- Decision: Treated failures as benchmark findings, not harness bugs: dense int8 small-M failures, `mxfp8` unsupported, Flux T5 fp8 text-encoder failure, and FBCache GGUF slowdown.
- Created task `#66`: `Benchmark all supported diffusion models across all optimization levers`.
- Edited `/mnt/disks/unslothai/ubuntu/workspace_81/unsloth/scripts/diffusion_bench.py`: added/plumbed benchmark flags including `--transformer-cache {off,fbcache}` and related metrics/config output.
- Created `/mnt/disks/unslothai/ubuntu/workspace_81/unsloth/scripts/benchall_orchestrator.py`: encodes the model/config matrix, runs `diffusion_bench.py` across GPUs, supports `--list`, `--gpu`, `--variants`, and `--aggregate`.
- Created `/mnt/disks/unslothai/ubuntu/workspace_81/unsloth/scripts/benchall_predownload.py` via shell heredoc during predownload setup.
- Overwrote `/mnt/disks/unslothai/ubuntu/workspace_81/unsloth/plans/wobbly-jumping-narwhal.md` with approved benchmark plan.
- Created `/mnt/disks/unslothai/ubuntu/workspace_81/unsloth/outputs/diffusion_benchall/SUMMARY.md` with benchmark findings and headline tables.
- Generated `/mnt/disks/unslothai/ubuntu/workspace_81/unsloth/outputs/diffusion_benchall/results.csv` from aggregation; contains `40 rows`.
- Commands run: `ls workflows/benchmarking_workflow.md unsloth/workflows/benchmarking_workflow.md`, `ls parallel_planner.py gpu_pool_runner.sh`, `ls unsloth/scripts/diffusion_bench.py unsloth/scripts`; found workflow, planner, runner, `diffusion_bench.py`, `diffusion_quality.py`.
- Command run: `python3 -u parallel_planner.py --output_file extra_plan.md --prompt ...`; background task completed and wrote `/mnt/disks/unslothai/ubuntu/workspace_81/async_task_outputs/extra_plan.md`.
- Command run: `python -c "import ast; ast.parse(open('scripts/diffusion_bench.py').read()); print('bench OK')"`; exit `0`, output `bench OK`.
- Command run: `python scripts/diffusion_bench.py --help ... grep ...`; verified `--transformer-cache {off,fbcache}` appears.
- Command run: HF access resolver using `huggingface_hub.HfApi`; found all 8 GGUF `Q4_K_M` filenames and initially `list_repo_files` access appeared OK.
- Resolved GGUF files include `z-image-turbo-Q4_K_M.gguf`, `z-image-Q4_K_M.gguf`, `qwen-image-2512-Q4_K_M.gguf`, `qwen-image-Q4_K_M.gguf`, `flux1-schnell-Q4_K_M.gguf`.
- Command run: `python scripts/benchall_orchestrator.py --list`; output showed `44 configs`, including `z-image-turbo (5)`, `z-image (5)`, `qwen-image-2512 (5)`, `qwen-image (6)`, `flux.1-schnell (4)`, `flux.1-dev (11)`, plus klein configs.
- Command run: dry-run `CUDA_VISIBLE_DEVICES=5 python -u scripts/benchall_orchestrator.py ...`; exit `0`; all `z-image-turbo` configs passed: `G0_eager`, `G1_default`, `D1_fp8`, `D2_int8`, `G1_max`.
- Command run: predownload all assets; exit `0` overall, but logged `[base ERR] black-forest-labs/FLUX.2-klein-9B: GatedRepoError: 403 Client Error`; other 7 models downloaded.
- Command run: metrics schema check on `outputs/diffusion_benchall/_dryrun/z-image-turbo/G1_default/metrics.json`; verified keys `env`, `load`, `generate`, `config`, `accuracy`.
- Command run: launched full sweep across GPUs `4`, `5`, `6`, `7` using `scripts/benchall_orchestrator.py`; background task completed exit `0`.
- Command run: first progress check showed failures for `flux.1-dev/D2_int8`, `qwen-image/D2_int8`, `qwen-image-2512/D2_int8`; later aggregation found `33` completed metrics and `7` failed configs.
- Failed configs: `flux.1-dev/D2_int8`, `flux.1-dev/D_mxfp8`, `flux.1-dev/G1_teq_fp8`, `qwen-image/D2_int8`, `flux.1-schnell/D2_int8`, `qwen-image-2512/D2_int8`, `z-image/G2_fbcache`.
- Error root cause: dense int8 on Flux/Qwen hits `torch._int_mm: self.size(0) needs to be greater than 16, but got 1`; small-M conditioning embedders should be excluded from int8.
- Error root cause: `mxfp8` failed with `CUBLAS_STATUS_NOT_SUPPORTED` on B200/cuBLAS stack.
- Error root cause: Flux text encoder fp8 failed with `normal_kernel_cuda not implemented for Float8_e4m3fn`.
- Finding: FBCache on GGUF is slower despite compile engaging; log showed `diffusion.cache: fbcache engaged (threshold=0.08)` and `speed_optims` included `compiled`; likely due to `fullgraph=False` plus GGUF per-op dequant graph breaks.
- Final measured headline: GGUF compile+cuDNN stack gives `1.9x-3.55x`; dense fp8 gives `2.3x-5.0x`; GGUF lowest VRAM, dense fp8 fastest.
- Example final table values: `Z-Image-Turbo` best `3.58x`; `Z-Image` best `3.87x`; `Qwen-Image-2512` best `4.89x`; `Qwen-Image` best `4.97x`; `FLUX.1-schnell` best `3.32x`; `FLUX.1-dev` best `4.47x`; `FLUX.2-klein-4B` best `2.31x`; `FLUX.2-klein-9B` blocked.
- Task `#66` marked completed.
- COMPLETED: plan approved, benchmark harness patched, orchestrator created, dry run passed, assets predownloaded where accessible, 7-model full sweep completed, results aggregated, summary written.
- PENDING: optional follow-up fix recommended: gate FBCache to dense-only/off for GGUF; optional fix for dense int8 should exclude small-M embedders; accept HF license for `black-forest-labs/FLUX.2-klein-9B` before rerunning that model.

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- PENDING: fp8/int8 UI; auto-resize 16

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- Decision: Launched 6 parallel research agents to avoid duplicated work and cover shipped optimizations plus five lever clusters: caching, attention/token merging, peak-memory reduction, `torch.compile`/Inductor, and quant/kernel/cross-platform.
- Decision: Prioritized attention-backend selection after research and B200 probing showed it was the only immediately validated speed win: `_native_cudnn` gave `1.18x` end-to-end with `LPIPS=0.004448794759809971`; Sage/Flash/FBCache were not usable on the available Z-Image setup.
- Decision: Split Inductor flags out of the main implementation because measured gain was negligible on B200/bf16: `inductor_flags 0.681s (1.01x vs base) peak=40.9G LPIPS=0.0047416952438652515`.
- Decision: Rejected `flash_4_hub` for now because installing `kernels` upgraded `huggingface-hub` to `1.21.0`, breaking diffusers `0.38.0` which needs `<1.0`; env was restored to `huggingface-hub==0.36.2`.
- Decision: Rejected SageAttention for B200 because `sageattention` v1.0.6 lacked usable Blackwell/`sm_100` kernels: `Sage Attention backend 'sage' is not usable`.
- Decision: Implemented Phase 11 consumer-aware quant ladder because consumer/workstation GPUs have nerfed FP8 FP32-accumulate while INT8 is full-rate; kept FP8 first on data-center GPUs.
- Decision: Rejected VAE tiling as Phase 12 for Z-Image inference peak memory after measuring worse/negligible peaks; denoise transformer activations dominate, not VAE decode.
- Decision: Deferred FBCache shipping because it fails for Z-Image even eager with `ValueError: Parameter 'hidden_states' not found in function signature but was requested.` and `KeyError: 'hidden_states'`; it needs validation on many-step Flux/Qwen.
- Created `/mnt/disks/unslothai/ubuntu/workspace_81/unsloth/outputs/quant_research/03_NEXT_LEVERS.md`: synthesis of next levers and later updated with negative VAE/FBCache findings.
- Created `/mnt/disks/unslothai/ubuntu/workspace_81/unsloth/scripts/perf_levers_probe.py`: B200 probe for baseline, Inductor flags, attention backends, and FBCache.
- Created `/mnt/disks/unslothai/ubuntu/workspace_81/unsloth/studio/backend/core/inference/diffusion_attention.py`: normalizes attention backend requests, selects `auto -> _native_cudnn` on NVIDIA CUDA, supports opt-in `sage`/`flash`/etc., applies via `set_attention_backend`, gracefully falls back to native.
- Edited `/mnt/disks/unslothai/ubuntu/workspace_81/unsloth/studio/backend/core/inference/diffusion.py`: threaded `attention_backend` through load flow, applied attention backend before speed compile, added `_LoadState.attention_backend`, and exposed it in status.
- Edited `/mnt/disks/unslothai/ubuntu/workspace_81/unsloth/studio/backend/models/inference.py`: added request and status model fields for `attention_backend`.
- Edited `/mnt/disks/unslothai/ubuntu/workspace_81/unsloth/studio/backend/routes/inference.py`: forwards `attention_backend` from API request to backend load call.
- Created `/mnt/disks/unslothai/ubuntu/workspace_81/unsloth/studio/backend/tests/test_diffusion_attention.py`: hermetic tests for backend normalization/selection/application/fallback.
- Edited `/mnt/disks/unslothai/ubuntu/workspace_81/unsloth/studio/backend/tests/test_diffusion_routes.py`: added route coverage for threading and invalid enum handling.
- Edited `/mnt/disks/unslothai/ubuntu/workspace_81/unsloth/studio/backend/core/inference/diffusion_transformer_quant.py`: added consumer-aware `auto` reorder so consumer GPUs prefer `int8`; B200/data-center keeps `fp8` first.
- Edited `/mnt/disks/unslothai/ubuntu/workspace_81/unsloth/studio/backend/tests/test_diffusion_transformer_quant.py`: updated torch stub with device names, added 3 consumer ladder tests, fixed data-center names.
- Created `/mnt/disks/unslothai/ubuntu/workspace_81/unsloth/temp/phase10_pr_body.md` and `/mnt/disks/unslothai/ubuntu/workspace_81/unsloth/temp/phase11_pr_body.md` for PR bodies.
- Command: checked diffusers APIs; key output: `diffusers 0.38.0 torch 2.9.1+cu128`, `ZImageTransformer2DModel has set_attention_backend: True`, cache configs present, Inductor flags present.
- Command: listed attention backends; key output included `flash`, `flash_4_hub`, `aiter`, `flex`, `native`, `_native_cudnn`, `sage`, `sage_hub`, `sage_varlen`, `xformers`.
- Command: `uv pip install sageattention kernels`; caused `huggingface-hub` incompatibility.
- Command: restored env with `uv pip uninstall kernels` and `uv pip install "huggingface-hub>=0.34.0,<1.0"`; verified `hub 0.36.2 diffusers 0.38.0`, `ZImage import OK`, `sageattention OK`.
- Command: ran B200 perf probe; final key output: `baseline 0.686s peak=22.6G`, `attn_cudnn 0.584s (1.18x vs base) peak=40.6G LPIPS=0.004448794759809971`.
- Command: created branch `diffusion-phase10-attention`; verified `has set_attention_backend: True`, `has reset_attention_backend: True`, `hip: None`.
- Error resolved: initial tests failed because test expected `"flash-3"` alias; actual normalization did not map it. Fixed test to use valid case.
- Command: `python -m pytest tests/ -q -k "diffusion"` after Phase 10; result `213 passed, 4993 deselected, 1 warning`.
- Command: B200 smoke for product attention functions; key output: `select(auto, speed_active=True) -> _native_cudnn`, `apply -> _native_cudnn`, `image finite: True shape: (1024, 1024, 3)`, `ATTN-SMOKE-OK`, `=== EXIT 0 ===`.
- Commit: `b92367554 Studio diffusion (Phase 10): attention-backend selection`.
- Command: pushed `diffusion-phase10-attention` and created PR `https://github.com/unslothai/unsloth/pull/6701` stacked on `diffusion-phase9-prequant`.
- Command: pre-commit.ci moved Phase 10 remote; rebased successfully; sync output `0 0`.
- Command: re-ran tests for PR #6701; result `213 passed, 4993 deselected, 1 warning in 15.14s`; PR state `{"base":"diffusion-phase9-prequant","mergeable":"MERGEABLE","number":6701,"state":"OPEN"}`.
- Command: created branch `diffusion-phase11-consumer-int8`.
- Command: Phase 11 tests: `python -m pytest tests/ -q -k "diffusion"`; result `216 passed` (tail showed `216 p`).
- Command: B200 non-regression for quant ladder; key output: `device: NVIDIA B200`, `_is_consumer_gpu('cuda'): False`, `reorder (B200): ('fp8', 'nvfp4', 'mxfp8', 'int8')`, `auto scheme on B200: fp8`.
- Commit: `764a3e1dc Studio diffusion (Phase 11): prefer int8 on consumer GPUs in the auto ladder`.
- Command: pushed `diffusion-phase11-consumer-int8` and created PR `https://github.com/unslothai/unsloth/pull/6702` stacked on `diffusion-phase10-attention`.
- Command: Phase 11 pre-commit wait showed `no movement`, sync `0 0`.
- Command: PR state check: #6701 `MERGEABLE`/`OPEN`, #6702 `MERGEABLE`/`OPEN`.
- Command: measured VAE decode peak with pipeline-level tiling; errors: `'ZImagePipeline' object has no attribute 'enable_vae_tiling'` and `'ZImagePipeline' object has no attribute 'enable_vae_slicing'`.
- Command: checked Z-Image VAE methods; key output: `VAE class: AutoencoderKL`, `vae.enable_tiling: True`, `vae.enable_slicing: True`, `pipe.enable_vae_tiling: False`, `pipe.vae_scale_factor: 8`.
- Command: measured VAE-level tiling; key output: `res 1024: no-tile peak=23.3G | vae-tile peak=30.6G | saved=-7.3G (-31%) | LPIPS=0.0000`; `res 1536: no-tile peak=33.8G | vae-tile peak=37.9G | saved=-4.1G (-12%) | LPIPS=0.0037`; `res 2048: no-tile peak=45.6G | vae-tile peak=45.3G | saved=0.3G (1%) | LPIPS=0.0037`; `=== EXIT 0 ===`.
- Command: probed FBCache compatibility; key output: `[cache_eager] FAIL ValueError: Parameter 'hidden_states' not found in function signature but was requested.`, `[cache+regional_nofullgraph] FAIL KeyError: 'hidden_states'`, `[cache+fullcompile_nofullgraph] FAIL KeyError: 'hidden_states'`, `FBCACHE-COMPAT-DONE`, `=== EXIT 0 ===`.
- Command still in flight at end: prefetch Flux.1-dev for FBCache validation, background ID `bbujpwspc`, log path pattern `logs/flux_prefetch_$(date +%Y%m%d_%H%M%S).log`.
- Completed: Phase 10 PR #6701 is open/mergeable, tests passing, B200 smoke passing.
- Completed: Phase 11 PR #6702 is open/mergeable, tests passing, B200 non-regression verified.
- Completed: VAE tiling investigated and rejected for Z-Image inference peak.
- Completed: FBCache investigated on Z-Image and found incompatible due to `hidden_states` signature.
- Pending: Wait for Flux.1-dev prefetch, then validate FBCache on compatible many-step model and potentially ship gated Phase 12 for Flux/Qwen only.

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- #156 done: FLUX.2 reference; 99 pass

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- User directed to expand scope to every architecture: `Yes do all arches.`
- User also requested validation benchmarks across all architectures: `Then also do a benchmark to check all.`
- User specifically requested benchmarking the alternative buffer-based implementation: `Also benchmark the buffers approach`
- COMPLETED: captured new requirements only.
- PENDING: implement/test all architectures; run comparative benchmarks including buffer approach.

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- `upscale` added+verified; hold for push/mirror

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- Decision: implement faithful `addcmul` fusions for all four Flux block classes (`FluxTransformerBlock`, `FluxSingleTransformerBlock`, `Flux2TransformerBlock`, `Flux2SingleTransformerBlock`) using exact `diffusers` 0.38 forward bodies to avoid semantic drift.
- Decision: run two follow-up tasks: `Task #112` for Flux.1/Flux.2 patch implementation with body-drift guards/specs/allclose tests, and `Task #113` for isolation benchmarks across all four arch families plus focused global buffer on/off benchmark.
- Commands run from `/mnt/disks/unslothai/ubuntu/workspace_81`: `CUDA_VISIBLE_DEVICES="" UNSLOTH_ALLOW_CPU=1 python - <<'PY' 2>/dev/null` to inspect `transformer_flux2` and `transformer_flux` sources.
- Key outputs: fetched `Flux2TransformerBlock.forward`, `Flux2SingleTransformerBlock.forward`, `FluxTransformerBlock.forward`, `FluxSingleTransformerBlock.forward`, relevant `__init__` signatures, and `Flux2Modulation` source.
- Finding: `Flux2Modulation.split` returns modulation tensors shaped `[B,1,dim]`, so test inputs can rely on clean broadcasting.
- Error: `API Error: Connection closed mid-response. The response above may be incomplete.` Work was interrupted before edits.
- Completed: source inspection and task creation.
- Pending: edit `diffusion_arch_patches.py`, add specs/guards/tests, run allclose checks and benchmarks.

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- Backend PR split blocked; plan updated.

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- Done: default=compile-dequant; max=compile

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- Done: right-sidebar move #25, Advanced discoverability, `/16` auto-resize verified.
- Pending: push, backend path, mirror, cancel loop.

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Continue the users directive to make a PR or push, scoped as “Complete PR, new branch” per the answered scoping question. The last completed tool was the full diffusion pre-commit pytest run, logging to `/mnt/disks/unslothai/ubuntu/workspace_81/logs/pretest_230339.log`; do not rerun it. Next, inspect the test result/log as needed, then proceed with the planned commit/push flow: push the Phase-16 base branch to `oobabooga`, create the new complete PR branch, commit only the intended frontend/installer/backend changes while excluding logs/temp/plans/junk, push it, and open the PR against that base.

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- User requested benchmarking performance gains across all PRs for every supported model format: `GGUFs` and `safetensors`.
- Verbatim directive to preserve: `And for all odels that are supported - GGUFs or just safetensors - across all PRs - what are the performance gains - benchmark all`
- Decision implied: scope expands from isolated PR review to cross-PR, cross-model benchmark comparison.
- Files created/edited: none in this span.
- Commands run: none in this span.
- Errors encountered: none; note typo `odels` appears in user directive.
- COMPLETED: request captured.
- PENDING: identify supported models/formats, enumerate relevant PRs, run benchmarks, report performance gains.

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- Done: PR synced; no pending

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- PR `#6694` opened; tests pass.

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- Asked check `https://github.com/city96/ComfyUI-GGUF`

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- Faster inference; `5 Opus subagents`

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- Asked: `non GGUFs`, `fp8, int8, bf16`

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- User asked: `Also for https://github.com/unslothai/unsloth/pull/6658 - which models are supported?`
- PENDING: inspect PR `6658` and determine supported models.

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- `FLUX.2-klein` inpaint done; extend excluded

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- Done: HF data
- Pending: PR push

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- Phase12 done: PR `#6703`

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- Rebased, pushed PR `#6675`; 127 pass

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- quant built; 146 pass; GPU pending

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- No actions; context-summary request only

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- Decision: implemented all remaining diffusion arch addcmul patches because tests/benchmarks required all four families covered and bit-correct: `qwen-image`, `z-image`, `flux.1`, `flux.2-klein`.
- Decision: kept source/signature drift guards around arch patches because patch safety depends on matching the expected diffusers forward bodies.
- Decision: treated initial `flux.1-schnell` benchmark `-20.5%` as invalid because logs showed `offload=model` and latency was ~10x normal; reran contaminated cases sequentially on free GPU 5 resident.
- Decision: concluded global weight buffer is neutral because qwen was `+0.2%`, flux.1 repeated from `+11.0%` to `-2.4%`, and allocator profile had no allocation retries/steady reserved VRAM.
- Edited `/mnt/disks/unslothai/ubuntu/workspace_81/unsloth/studio/backend/core/inference/diffusion_arch_patches.py`: added all family/block patches and updated module docstring to state all arches are implemented.
- Edited `/mnt/disks/unslothai/ubuntu/workspace_81/unsloth/studio/backend/tests/test_diffusion_arch_patches.py`: added allclose tests for four flux blocks and updated install-count assertion.
- Created `/mnt/disks/unslothai/ubuntu/workspace_81/unsloth/scripts/buffer_bench.py`: dedicated global-buffer on/off benchmark.
- Created `/mnt/disks/unslothai/ubuntu/workspace_81/unsloth/outputs/arch_patch/SUMMARY.md`: final benchmark summary and interpretation.
- Ran `cd /mnt/disks/unslothai/ubuntu/workspace_81/unsloth/studio/backend && CUDA_VISIBLE_DEVICES="" python -m pytest tests/test_diffusion_arch_patches.py -q 2>&1 | tail -16`; result: `.......... [100%]`, 10 arch tests passed with warning.
- Ran `cd /mnt/disks/unslothai/ubuntu/workspace_81/unsloth/studio/backend && CUDA_VISIBLE_DEVICES="" python -m pytest tests/ -q -k "diffusion" 2>&1 | tail -4`; result: `300 passed, 1 skipped, 5012 deselected, 1 warning in 13.25s`.
- Launched benchmarks: `scripts/arch_patch_bench.py --model flux.1-schnell --gpu 4`, `--model flux.2-klein-4b --gpu 5`, `scripts/buffer_bench.py --model qwen-image --gpu 6`, `--model flux.1-schnell --gpu 7`.
- Error: result collection shell test produced `/bin/bash: line 23: [: 0 0: integer expression expected`; non-blocking, later results were collected another way.
- Error: GPUs 4/6/7 were occupied by external `python3` processes using ~158GB each; caused offload contamination. Did not kill external PIDs.
- Ran `kill 325007` to stop own offloaded qwen buffer bench; output `killed my qwen buffer bench (offloaded)`.
- Ran clean sequential re-runs on GPU 5: `scripts/arch_patch_bench.py --model flux.1-schnell --gpu 5`, `--model qwen-image --gpu 5`, `scripts/buffer_bench.py --model flux.1-schnell --gpu 5`, `--model qwen-image --gpu 5`; all 8 loads reported `offload=none`.
- Final resident arch benchmark results: `z-image-turbo off=1.554s on=1.557s -0.2% PSNR=32.1`; `flux.2-klein-4b off=0.626s on=0.623s +0.4% PSNR=33.6`; `flux.1-schnell off=1.417s on=1.405s +0.8% PSNR=30.2`; `qwen-image off=9.508s on=9.667s -1.6% PSNR=45.2`.
- Final resident buffer benchmark results: `qwen-image off=9.477s on=9.462s +0.2%`; `flux.1-schnell off=1.569/on=1.413 +11.0%` then repeat `off=1.415s on=1.450s -2.4% VRAM 18.8->18.9 PSNR=inf`.
- Error: repeat flux.1 buffer pretty-print wrapper had quote-nesting bug and printed inline Python source; underlying `buffer_bench` still wrote `outputs/buffer_bench/flux.1-schnell/result.json`, so resolved by reading result JSON.
- Ran final verification: `cd /mnt/disks/unslothai/ubuntu/workspace_81/unsloth/studio/backend && CUDA_VISIBLE_DEVICES="" python -m pytest tests/ -q -k "diffusion" 2>&1 | tail -3`; result: `300 passed, 1 skipped, 5012 deselected, 1 warning in 14.20s`.
- Task status: completed task `#112` and `#113`.
- COMPLETED: all arch patches implemented, flux allclose tests added, install-count assertion updated, buffer benchmark script added, clean benchmarks collected, summary written, final diffusion test suite green.
- PENDING: none noted.

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- Decision: continue active Stop-hook work on diffusion efficiency/memory without pausing, per directive `Keep working on making diffusion more efficent, use less memory and not reduce accuracy...`.
- Must use cwd only: `/mnt/disks/unslothai/ubuntu/workspace_81/unsloth/studio/backend/temp/temporary_qui4gujp`; never exit it.
- Goal constraints: optimize diffusion load/inference peak memory and speed across Mac/Windows/Linux, NVIDIA/AMD/Intel/CPU; support GGUF and safetensors; avoid large accuracy loss, `25% reduction is fine`.
- Research targets preserved: `torch._int_mm`, `torchao/sparsity`, SDNQ, int8 fused, FBGEMM, TorchInductor config, Diffusers optimization docs, FP8/NVFP4/MXFP8, TensorRT, FlashAttention diffusion.
- Existing PR context to consider: `#6658 #6670 #6675 #6679 #6680 #6690 #6694 #6700 #5872`.

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Continue the latest benchmark/fix task from the completed state: the int8 dense quant crash investigation, fix, verification, and stacked PR are already done. Do not rerun the completed background benchmarks, pytest runs, branch push, or PR creation; PR #6716 exists, includes the pre-commit.ci autofix, and quant tests passed after syncing. Next tool action is to proceed only with the next separate benchmark failure if the broader effort continues, starting by inspecting the relevant code/logs for the T5 text-encoder fp8 issue rather than touching the completed int8 PR work.

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- NVFP4 Phase2C done; pushed `dbb029256`

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- User requested testing safetensors inplace ops and `global` buffers.
- Desired defaults: `channels_last`, compiled dequant only, cuDNN if supported, inplace/eager opts.
- Max adds compile all + tf32.
- Check `https://github.com/unslothai/unsloth/blob/main/unsloth/models/llama.py#L1236`-`L1354`.

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- Advanced moved to right card, open default; Chat-like toggle.
- `images-page.tsx`; `tsc`, build ok.

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- Found/fixed `is_gguf` bug in `core/inference/diffusion.py`; non-GGUF fp8/int8 now route to regional `compiled`.

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- Check NVFP4; test FP8/NVFP4 lowmem

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Continue the latest directive to keep improving diffusion efficiency, memory use, and speed without unacceptable accuracy loss, specifically building on the validated Flux.1-dev FBCache Phase 12 work. The next concrete action is to continue wiring FBCache into the backend after the completed edit to `studio/backend/models/inference.py`: update the route/request plumbing as needed, finish status model exposure, then validate the new cache parameters and compile `fullgraph=False` behavior without re-running already completed Flux validation tools.

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- Asked `NXFP4` via PyTorch/TorchAO

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- Decision/request: make `Advanced` closed by default, because user wants it not open initially.
- Decision/request: when `Advanced` is expanded, keep the Advanced icon stationary; it should look like `Chat`, so the icon should not move.
- Reference URL provided verbatim: `https://huggingface.co/datasets/danielhanchen/screenshots/discussions/26`
- COMPLETED: no implementation in this span.
- PENDING: apply the UI behavior/icon alignment changes.

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- `https://huggingface.co/datasets/danielhanchen/screenshots/discussions/25`

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- Load Studio `--secure`; ask sd.cpp

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- Decision: next lever should target inference-time peak memory/speed, because Phases 7-9 already covered compile, dense+torchao quant, consumer fast-accum gating, and pre-quantized loading/load VRAM.
- Goal preserved: push diffusion speed and `peak memory (both load and inference)` under ~25% accuracy cost across consumer/data-center GPUs and ideally Mac/AMD/Intel/CPU, for `GGUF + safetensors`.
- Mentioned candidate levers: step caching, attention backends, VAE tiling for decode peak memory.
- No files edited/created.
- No commands completed.
- Error: `API Error: Connection closed mid-response.` unresolved; assistant response may be incomplete.

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- PENDING: Z-Image, LPIPS, CPU cmp

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- Waiting user decision.

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- Studio launched: `--secure`, `:8890`

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- COMPLETED; pending user go-ahead

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- PENDING: install `torch 2.11` `NVFP4`

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- Pending: run `gh pr checks 6703`; use `CronList`/`CronDelete` only if checks done.

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- Studio up: `HTTP 200`; URL `https://courtesy-complicated-newman-citizens.trycloudflare.com`

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- fp8 auto; PR `6694` merged-ready.

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- Bench: 2.56x faster `1.83 s -> 0.71 s`; stack: compile+cudnn attention+channels_last+benchmark. FBCache extra for many-step only.

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- Complete; pending `push the PRs`/`set up the mirror`

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- Decided fp8 fastest; GGUF smallest/default.

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- PR-ready; pending `push the PRs`

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- No API errors; only benign ONNX warning

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Continue the latest directive: remove all global buffers since they looked useless, then ensure nothing else broke. The last completed action read the affected section of tests/test_diffusion_speed.py, so the next action is to edit that file to remove the weight_buffer stub/assertions without re-reading or rerunning the completed Read.

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- PENDING: user decide commit scope

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- compile gives most win; conv opts ~noop

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- Phase13 TE offload rejected: `+686%` latency for `-11%` peak; code reverted.
- `#6703` green: `42 pass`, `1 skipping`.

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- Diffusion: fp8 fastest/`auto`; caveats VRAM/shape

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Continue the latest directive: remove all global buffer machinery because the benchmarks showed it was useless, and ensure nothing else broke. The production module, diffusion comments, speed docstrings, and `test_diffusion_gguf_compile.py` were already edited; the last completed tool read `studio/backend/tests/test_diffusion_speed.py` and showed the remaining `weight_buffer` test stub/assertions. Next action is to edit `test_diffusion_speed.py` to remove `weight_buffer` from the stub and expectations, then grep for remaining buffer references and run the relevant diffusion tests.

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- Pending: needs user go-ahead.

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- NVFP4 tried; Phase4 started

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- User asked: `So FP8 is the fastest?`

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- Decision: keep `default dynamic=True`.

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- Multi-ref FLUX.2 done; verified live.

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- Use 5 Opus subagents; recheck links

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- Asked `How about memory usage and size`

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- `dynamic=True` default; global buffers

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- Phase 7 pushed: `ede94176f`, green.

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- User asks benchmark/settings recap

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- Asked: `Search HuggingFace for any NVFP4 diffusion models and see if we can try them`

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- Decision: discussion `#26` changes are complete because the UI is now closed by default and the Chat-style toggle is fixed.
- Completed: verified the discussion `#26` behavior; no further autonomous action was identified in this span.
- Pending: waiting for user go-ahead on remaining choices: `push the frontend + installer`, `backend path 1/2/3`, `set up the mirror`, `cancel the loop`, or continued UI feedback iteration.
- Live studio remains available at `https://incentive-topics-patrick-commissioners.trycloudflare.com` with credentials `unsloth` / `diffusion-Thrg7s3tr1-UoGYq`.

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- fixed UI+resize
- pending push/backend

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Continue making diffusion more efficient with lower loading and inference peak memory, faster execution, and acceptable accuracy loss only within the users stated tolerance. The latest edit to inference.py is done; do not re-run it. Next, proceed from the completed status-response-model edit by inspecting the updated inference.py context only as needed, then continue implementing or validating the remaining quantization/memory/speed changes implied by the stop-hook feedback.

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- Asked diffusers `int8 / float8`

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- Decision: Used cached/local context first per `AGENTS.md`; no cache existed for PR `#6658`, so fetched live PR metadata with `gh`.
- Decision: Summarized PR `#6658` as foundational diffusion/image-generation support; detection is architecture-based so one family entry covers quants/variants.
- Command run: `cd /mnt/disks/unslothai/ubuntu/workspace_81 && echo "=== cached summary? ===" && ls -la data/pr_summaries/unslothai__unsloth/pr_6658.json 2>/dev/null || echo "(no cache)" && echo "=== PR meta ===" && gh pr view 6658 --repo unslothai/unsloth --json number,title,state,author,body ...`; key output: `(no cache)`, `#6658 [OPEN] Studio: add image generation with Unsloth GGUFs`, author `oobabooga`.
- Completed: Captured PR body summary: new Image tab with download menu, generation inputs, output image/gallery.
- Completed: Identified integrated families: `z-image`, `qwen-image`, `flux.1`, `flux.2-klein`; all Unsloth GGUF transformer-only with base diffusers components resolved via `base_model`.
- Completed: Noted excluded models/reasons: `ERNIE-Image`, `FLUX.2-dev`, editing models.
- Pending: none in this span.

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- Done; pending user choice

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- Decision: discussion #26 fixed by using one always-present top-bar `LayoutAlignRightIcon`; guarantees no icon swap or movement and matches Chat style.
- Decision: Advanced panel now closed by default so preview canvas loads full width.
- Edited `/mnt/disks/unslothai/ubuntu/workspace_81/unsloth/studio/frontend/src/features/images/images-page.tsx`: default Advanced state closed; replaced conditional gear/header close icons with a single fixed top-right `LayoutAlignRightIcon` toggle; removed redundant panel header close button.
- Edited `/mnt/disks/unslothai/ubuntu/workspace_81/unsloth/plans/diffusion-workflows-pr-plan.md`: updated plan note for discussion #26.
- Ran `cd /mnt/disks/unslothai/ubuntu/workspace_81/unsloth/studio/frontend && npx tsc --noEmit ... && npm run build`; exit 0, key output `=== TSC OK ===`, `build exit 0 -> /mnt/disks/unslothai/ubuntu/workspace_81/logs/fe_build_222352.log`.
- Ran Playwright script `/mnt/disks/unslothai/ubuntu/workspace_81/scripts/shoot_toggle.py`; exit 0, saved `toggle_closed.png` and `toggle_open.png`; output `ICON MOVED: False`, both boxes `{x:1558, y:11, width:34, height:34}`.
- Verified visually via `/mnt/disks/unslothai/ubuntu/workspace_81/outputs/ui_shots/toggle_open.png` and `/mnt/disks/unslothai/ubuntu/workspace_81/outputs/ui_shots/toggle_closed.png`.
- Completed: discussion #26 changes and verification. Pending: local frontend changes for PR 2 remain uncommitted.

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- Asked compile flags/CUDAGraphs

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- Done: adv open; `/16` resize

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- Done/no errors; pending go-ahead

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- FP8/INT8 PASS; all `/goal` done

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- Decided pre-quantized torchao loading fixes fast-mode load VRAM; offline quant avoids dense bf16 GPU materialization.
- Created PR `https://github.com/unslothai/unsloth/pull/6700`, base `diffusion-phase8-quant`, branch `diffusion-phase9-prequant`, commit `b90f83346`.
- Added `diffusion_prequant.py`, builder/verify scripts, request field/tests.
- Verified: load peak `21.2 GB` -> `14.6 GB`, disk `6.28 GB`, `LPIPS 0.0`; `200` diffusion tests passed.

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- User asked: `Is there a way to fix the loading VRAM issue - pre-quantized?`
- Pending: answer likely needs repo/PR context; no commands or edits in this span.

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- Approved plan saved at `/mnt/disks/unslothai/ubuntu/workspace_81/unsloth/plans/wobbly-jumping-narwhal.md`.
- Created `/mnt/disks/unslothai/ubuntu/workspace_81/unsloth/studio/backend/core/inference/diffusion_patch_backend.py`; lazy wraps `unsloth_zoo.temporary_patches.utils` `patch_function`/`can_safely_patch`/`restore_original`.
- Edited `diffusion_eager_patches.py`, `diffusion_gguf_compile.py`, `diffusion.py`, `tests/conftest.py`, `test_diffusion_gguf_compile.py`; CPU tests require `UNSLOTH_ALLOW_CPU=1`.
- Created `diffusion_arch_patches.py` + `test_diffusion_arch_patches.py`; qwen `_modulate` and z-image gated residuals use compile-safe `torch.addcmul`.
- Created `scripts/arch_patch_bench.py`.
- Tests: `77 passed, 1 skipped`; full diffusion: `296 passed, 1 skipped`.
- Bench: qwen parity default `5.952s`, max `2.741s`; arch isolation z-image `-0.2%`, qwen `+0.3%`.
- Alloc profile: `alloc_retries delta == 0`, reserved VRAM flat; global scratch buffers not useful.
- Pending: user asked whether to extend same addcmul recipe to flux.1/flux.2.

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- Done: summarized `outputs/` benches

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- DONE: build verified
- PENDING: choice

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- User asked: `So overall how much did increase the speed by?`

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Continue the latest directive: examine why int8 failed for some cases and fix if possible. The latest assistant state says this was completed: int8 failures were root-caused, fixed, verified on B200, tests passed, and PR #6716 was shipped stacked on #6703. No tool is in flight; the next action is to carry forward that completed status and, if the conversation continues, answer only any new user follow-up such as tackling the separate T5 fp8 issue.

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Continue the latest directive: “make a PR or push to another,” meaning push the completed diffusion image workflow work to the users fork and open the appropriate stacked PR. The full diffusion test run already completed, so do not re-run it just because of compaction; inspect its result/log if needed, then proceed with committing the work, pushing the base/work branches as described, and opening the PR against the fork branch.

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- Explained diffusion models/int8 UI gap.

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- NVFP4 slow; added `scripts/nvfp4_probe.py`

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- Studio live; pwd set; routes fixed

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- Pending `/loop`: `Every 30 minutes`

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- Continue work

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- Started planner for diffusion UI; bg task `b1s4duoo4`; then user interrupted.

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- Done: safetensors; tests 73 pass

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- User directive received: `if the /goal is not yet achieved or there is an API error, say "Continue work"`
- No files edited, no commands run, no errors observed in this span.
- Pending: determine whether `/goal` is achieved; if not achieved or API error occurred, output `Continue work`.

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Continue work. Resume the current diffusion safetensors implementation task because the /goal is not yet achieved. The last completed action created `/mnt/disks/unslothai/ubuntu/workspace_81/scripts/shoot_advanced.py`; next, run that Playwright screenshot script to capture the Advanced panel, then continue verification from its result without re-running the completed build or file creation.

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- Fixed numeric spinner overlap in `/mnt/disks/unslothai/ubuntu/workspace_81/unsloth/studio/frontend/src/features/images/images-page.tsx`; hide all native spinners, widen `SliderField` number input.
- Created `/mnt/disks/unslothai/ubuntu/workspace_81/unsloth/plans/diffusion-workflows-studio.md`.
- Created `/mnt/disks/unslothai/ubuntu/workspace_81/scripts/shoot_images_page.py`.
- Ran `npm run build`: exit 0. Playwright screenshots saved to `outputs/ui_shots/`; verified values no longer covered.
- Secure Studio relaunched: `https://perhaps-nick-valentine-park.trycloudflare.com`, login `unsloth` / `diffusion-Thrg7s3tr1-UoGYq`.
- Pending: tabbed workflow shell, Advanced Options, img2img.

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- Comment; `unsloth/*` `safetensors`

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Continue work on the current diffusion safetensors implementation task, specifically the Advanced Options panel: frontend fields are wired, task #147 is in progress, and `tsc` plus build already passed. The last completed tool action wrote `/mnt/disks/unslothai/ubuntu/workspace_81/scripts/shoot_advanced.py`; do not re-run that write. Next, run that screenshot script to capture/verify the Advanced panel in the running studio, then inspect the result and continue verification or fixes as needed.

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- Decision: completed the frontend **Transform** tab as the next vertical slice because the img2img backend was already verified; UI now exposes Create/Transform workflow selection, gated by backend `status.workflows`.
- Decision: restarted the secure studio because the running process predated backend `workflows` support and kept Transform disabled; after restart, `workflows: ['txt2img', 'img2img', 'inpaint']` enabled the tab.
- Decision: added backend unit coverage for img2img to lock in `Pipeline.from_pipe` reuse and unsupported-family rejection.
- Edited `/mnt/disks/unslothai/ubuntu/workspace_81/unsloth/studio/frontend/src/features/images/api.ts`: added request/status typing for `init_image`, `mask_image`, `strength`, and workflow capability fields used by img2img UI.
- Edited `/mnt/disks/unslothai/ubuntu/workspace_81/unsloth/studio/frontend/src/features/images/images-page.tsx`: added `WORKFLOW_TABS`, workflow state, init image state, strength state, `ImageDropzone`, Create/Transform segmented tabs, Transform-only dropzone + Strength slider, capability gating, and threaded `init_image`/`strength` into generation.
- Edited `/mnt/disks/unslothai/ubuntu/workspace_81/unsloth/studio/backend/tests/test_diffusion_backend.py`: extended fakes and added img2img backend tests.
- Created `/mnt/disks/unslothai/ubuntu/workspace_81/scripts/shoot_transform_tab.py`: Playwright screenshot helper that loads a model, opens Transform, uploads a sample image, and saves `/mnt/disks/unslothai/ubuntu/workspace_81/outputs/ui_shots/transform_tab.png`.
- Command run: `cd /mnt/disks/unslothai/ubuntu/workspace_81/unsloth/studio/frontend && npx tsc --noEmit`; exit `0`, only npm warning `Unknown project config "min-release-age"`.
- Command run: `npm run build`; exit `0`, key output `✓ built in 1.95s`.
- Command run: `curl -s -m5 -o /dev/null -w "root=%{http_code}\n" http://127.0.0.1:8898/ ; ss -ltn | grep -q :8898 && echo listening || echo down`; key output `root=200`, `listening`.
- Command run: `/mnt/disks/unslothai/ubuntu/workspace_81/bin/python3 scripts/shoot_transform_tab.py`; first capture saved `/mnt/disks/unslothai/ubuntu/workspace_81/outputs/ui_shots/transform_tab.png` but Transform stayed disabled because old backend was running.
- Error encountered: screenshot script initially logged repeated click waits ending with `element is not enabled`; resolved by restarting studio to pick up new backend `status.workflows`.
- Command run: `pkill -f "run.py --host 127.0.0.1 --port 8898"` and `pkill -f "unsloth studio --secure -p 8898"`; exit `144`; follow-up confirmed `(8898 free)`.
- Command run: relaunched secure studio with `UNSLOTH_STUDIO_HOME=/mnt/disks/unslothai/ubuntu/workspace_81/studio_home CUDA_VISIBLE_DEVICES=6,7 HF_HUB_DISABLE_XET=1 HF_TOKEN...`; background ID `bfrwp6n0d`.
- Command run: wait/check new studio; key output `https://function-shopping-grew-shoot.trycloudflare.com` and `root=200`.
- Command run: recaptured Transform tab with `/mnt/disks/unslothai/ubuntu/workspace_81/bin/python3 scripts/shoot_transform_tab.py`; key output `workflows: ['txt2img', 'img2img', 'inpaint']` and saved `/mnt/disks/unslothai/ubuntu/workspace_81/outputs/ui_shots/transform_tab.png`.
- Command run: live HTTP round-trip test through `http://127.0.0.1:8898`; key output `loaded: True workflows: ['txt2img', 'img2img', 'inpaint']`, `txt2img: 200`, `img2img HTTP: 200 images: 1`.
- Command run: `cd /mnt/disks/unslothai/ubuntu/workspace_81/unsloth/studio/backend && /mnt/disks/unslothai/ubuntu/workspace_81/bin/python3 -m pytest tests/test_diffusion_backend.py tests/test_diffusion_routes.py -q`; key output `75 passed, 5 warnings in 21.40s`.
- Task update: marked task `#145` updated/completed for img2img vertical slice.
- Task update: updated task `#144` as partial: workflow tab strip and capability gating done; remaining tabs are Edit/Extend/Control/Enhance and Advanced Options work under task `147`.
- Completed: img2img full vertical slice verified across backend, frontend Transform tab, live HTTP, screenshot, and unit tests.
- Completed: running secure studio available at `https://function-shopping-grew-shoot.trycloudflare.com` with login `unsloth` / `diffusion-Thrg7s3tr1-UoGYq`.
- Pending: no commit or push performed.
- Pending: next planned work is **Edit tab** with inpaint mask canvas and instruction editing for Qwen-Image-Edit/FLUX Kontext, then Advanced Options panel for speed/compile/quant/memory knobs.

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