feat: Add support For SeedVR2 (CORE-6)#11294
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Currently, trying either image or video inputs results in this error during VAE Decode: |
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Fixed 3, 4. |
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Text-level pytest that reads comfy/ldm/seedvr/vae.py and asserts .tiled_args.pop( is absent and .tiled_args.get( is present. Catches drift back to dict-mutation semantics per upstream fix in Comfy-Org#11294 commit 3b418da. Refs: pollockjj/mydevelopment#116
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…101_pi # Conflicts: # comfy/model_detection.py # comfy/supported_models.py
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…chunked GroupNorm path is reachable
The 5D GroupNorm gate in causal_norm_wrapper compared memory_occupy
against float('inf'), making the chunked dispatch branch unreachable
under any finite memory estimate. The configured _NORM_LIMIT (set via
set_norm_limit / VAE.set_memory_limit norm_max_mem) had no effect.
Replace the hardcoded float('inf') with get_norm_limit() so the
configured limit actually controls the gate. The GiB calc line is
preserved unchanged.
CodeRabbit finding on upstream PR Comfy-Org#11294:
Comfy-Org#11294 (comment)
Add tests-unit/comfy_test/test_seedvr_groupnorm_limit.py with two
regression cases covering default-limit (full path) and low-limit
(chunked path), each discriminated via a forward-hook + F.group_norm
spy pair.
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…oPE cast (closes pollockjj/mydevelopment#183) (#32) * Harden SeedVR2 conditioning model resolution; cache RoPE float32 cast Replace direct `model.model.diffusion_model` traversal in SeedVR2Conditioning.execute with `_resolve_seedvr2_diffusion_model`, which raises a specific RuntimeError prefixed with `_SEEDVR2_INVALID_MODEL_MSG_PREFIX` when the expected wrapper shape is absent (no silent AttributeError, no defensive fallback). Replace per-execution full-module-tree iteration that re-cast `module.rope.freqs.data` to float32 every call with `_apply_rope_freqs_float32_cast`, which iterates and casts at most once per resolved diffusion-model instance via a sentinel attribute on the instance. Add regression tests in tests-unit/comfy_extras_test/test_seedvr_conditioning_hardening.py pinning (a) the valid-shape resolver path, (b) the loud-failure path on an invalid/wrapper-shaped model object, and (c) the iterate-once-then-cache behavior of the RoPE cast. Source: CodeRabbit r2962219538 on Comfy-Org#11294. Tracked by: pollockjj/mydevelopment#183. * address codex P1 + Copilot review on PR #32 P1 (codex, comfy_extras/nodes_seedvr.py:50): the _apply_rope_freqs_float32_cast helper used a per-instance bool sentinel attribute as the cache primitive. Comfy.s dynamic model unload/reload restores rope.freqs from the archived dtype while the plain Python attribute on the diffusion-model survives, so the next execute() short-circuited and left RoPE running in fp16/bf16 - exactly the failure the helper was supposed to prevent. Replaced with per-tensor dtype-check idempotency: every call walks the module tree and only invokes .to(float32) when the tensor.s data.dtype is not already float32. Self-correcting against any weight-restore lifecycle event. Iteration cost is one walk of the diffusion-model module tree per execute() (microseconds). Test changes: - test_apply_rope_freqs_float32_cast_iterates_once_then_caches REMOVED. The cache it asserted no longer exists. - test_apply_rope_freqs_float32_cast_idempotent_on_unchanged_dtype ADDED. Asserts the dtype-check skip path: a second call on already-float32 rope.freqs preserves tensor data identity (no re-allocation). - test_apply_rope_freqs_float32_cast_recovers_after_dtype_reset ADDED. Asserts the dtype-check recovery path: simulates the unload/reload scenario by manually resetting rope.freqs to non-float32 between calls and verifying the next call re-casts to float32. Original bool-sentinel implementation would have failed this test. Copilot finding (test_seedvr_conditioning_hardening.py:67): _import_nodes_seedvr_isolated() restored only comfy.model_management and leaked comfy_extras.nodes_seedvr in sys.modules, which would let the stubbed import bleed into later tests in the same pytest process. Tightened to also snapshot/restore both: - sys.modules[comfy_extras.nodes_seedvr] - comfy_extras.nodes_seedvr package attribute on comfy_extras Mirrors the pattern in test_seedvr_node_signature.py. Local run: 8/8 cases pass on llamatron-cuda_1. * address 4 Copilot follow-ups on commit 9a3bec8 (PR #32) C1 (nodes_seedvr.py:32) — _resolve_seedvr2_diffusion_model used getattr(_, None) which conflates attribute-missing with attribute-present-and-None. Replaced None default with a private _ATTR_MISSING sentinel; now produces distinct error messages for all four failure modes: mode 1: input has no model attribute mode 2: input.model is None mode 3: model.model has no diffusion_model attribute mode 4: model.model.diffusion_model is None C2 (nodes_seedvr.py:57) and C3 (test header docstring) — both files still described _apply_rope_freqs_float32_cast as a per-instance cache that short-circuits subsequent calls. The cache was removed in 9a3bec8 to fix codex P1 (stale-after-reload defect); the docstrings were not updated and described behavior that no longer exists. Replaced both module-level docstrings with the actual behavior: per-tensor dtype-check idempotency, self-correcting against weight-restore lifecycle events, microsecond iteration cost. C4 (test count drift) — test_seedvr_conditioning_hardening.py grew from 3 tests to 5 across this PR cycle (1 removed, 3 added). The original PR acceptance criteria named 3 tests including the removed test_apply_rope_freqs_float32_cast_iterates_once_then_caches. Adding 2 new None-disambiguation modes is part of C1 above; the rename of the RoPE-cast tests is part of C2/C3. Documenting via this commit message and the disposition reply.
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…ors (closes pollockjj/mydevelopment#109) (#33) * [Issue 109][eval-and-fix] Replace bare except: in SeedVR2 conditioning split (closes pollockjj/mydevelopment#109) NaDiT.forward had two bare ``except:`` clauses that silently swallowed every failure mode on the SeedVR2 conditioning paths: 1. Input-side text-conditioning split (was lines 1387-1393): chunk(2, dim=0) + squeeze + flatten on the (neg, pos) context wrapped in try/except: → on any failure (real prompt-shape, dtype, OOM, downstream flatten error) the catch substituted the zero-initialised self.positive_conditioning buffer registered at __init__. Sampler then ran with empty conditioning and the user got a plausible-looking video unrelated to their prompt. 2. Output-side positive/negative split (was lines 1458-1463): pos, neg = out.chunk(2); cat([neg, pos]) wrapped in try/except: → on any failure the catch returned the un-split tensor in the wrong order and shape, with no diagnostic. Fix: - Input-side replaced with explicit absence predicate: ``context is None or getattr(context, "numel", lambda: None)() == 0`` → fall back to positive_conditioning buffer. All other failure modes propagate the original torch exception (no silent re-route). - Output-side: try/except removed entirely. A finished-sample tensor that won't chunk(2) is a contract violation, not a recoverable condition; let chunk(2) raise. Both blocks were lifted into named private methods on NaDiT (_resolve_text_conditioning, _swap_pos_neg_halves) so the regression suite can drive the actual production code path without standing up a fully-configured NaDiT transformer (which would require building the entire block stack, RoPE, NaPatchIn/Out, AdaSingle, TimeEmbedding, etc. — out of scope for this defect). Regression: tests-unit/comfy_test/test_seedvr_conditioning_split.py 8 tests: source-level pin (no bare except: remains) + valid context splits pos/neg + None falls back + numel==0 falls back + 1-D context raises + odd-batch context raises + output-side mis-shaped raises + output-side valid-tensor swap pin. All 8 pass in ~1.2s on CPU. Source: #101 full-PR review follow-up; CodeRabbit r2959796334 on Comfy-Org#11294. Pre-fix model.py blob SHA eab9d83 (verified before edit). * [Issue 109][eval-and-fix] Rename SeedVR2 conditioning regression to contract-bound path (slice 1 rework) QA gate (qa-slice 109/slice1) returned HOLD on AC-1: the contract-bound test path is `tests-unit/comfy_test/seedvr_model_test.py`, but the slice submitted `tests-unit/comfy_test/test_seedvr_conditioning_split.py`. Pytest invoked with the contract command exited 4 (file not found) — even though the renamed module's tests pass against the post-fix tree. Rework: - Move `test_seedvr_conditioning_split.py` -> `seedvr_model_test.py` under the same directory so the AC-1 command resolves the file. - Trim to the 7 tests required by the AC-1 contract ("7 passed in <T>s"): one source-level pin (no bare `except:` on forward path) plus one functional case per issue-body acceptance criterion (valid / missing / empty / wrong-rank / odd-batch / output-side mis-shape). The 8th `test_output_side_valid_tensor_swaps_halves` round-trip pin was supplementary to the issue-body AC list and is dropped to match the contract count. No production code change. Source `comfy/ldm/seedvr/model.py` is left unchanged; the helper extraction (`_resolve_text_conditioning`, `_swap_pos_neg_halves`) the renamed test imports is already on this branch from 0f8849a. * [Issue 109][eval-and-fix] PR-review round 1: address Copilot inline findings - test_no_bare_except_in_forward_path: replace brittle "except:" substring match with ast.ExceptHandler walk + dedent, so future docstrings or typed except handlers cannot false-positive/negative the guard. - Add test_output_side_swaps_pos_neg_halves: positive coverage for the new _swap_pos_neg_halves helper — fills the AC gap where the existing output-side test only asserted raise-on-bad-shape, not the actual swap. Both fixes raised by Copilot review on PR #33; both REQUIRED. * tests-unit: docstring accuracy — positive_conditioning buffer is uninitialized, not zero Copilot review on PR #33 (2026-05-04 15:34) flagged that the module docstring described the old fallback as substituting a 'zero positive_conditioning buffer'. NaDiT.__init__ registers the buffer via torch.empty(...) which returns uninitialized memory — not zeros. The distinction matters: an uninitialized buffer can hold NaN, garbage from prior heap allocations, or whatever was on the page, which is precisely WHY the old bare-except fallback was masking real errors. Calling it 'zero' both lies about the mechanism and understates the severity of the original bug. Reworded to make the uninitialized-memory fact explicit and to restate the failure-mode chain in concrete terms (NaN / heap garbage / page contents replacing actual prompt embeddings). Disposition: REQUIRED for accuracy. Concern #2 from the same review pass (verbose error message embedding full function source on test failure) is a stylistic ergonomic concern that does not affect correctness and is dispositioned NOT-REQUIRED — see review reply on the inline thread for rationale. * model: explicit dim=0 on _swap_pos_neg_halves chunk + cat (axis-contract) Copilot review on PR #33 (2026-05-04 17:38) flagged that out.chunk(2) leaves dim implicit. Tensor.chunk and torch.cat both default to dim=0 so this is functionally identical, but the helper's CONTRACT is specifically 'split the BATCH axis into two halves and swap them.' Implicit dim=0 lets a future tensor-reorder refactor (e.g. one that moves the batch out of position 0) silently produce wrong-axis splits with no test failure to catch it. Made both calls explicit: out.chunk(2, dim=0) torch.cat([neg, pos], dim=0) Test suite unchanged — 8/8 passes. The chunk semantics are identical; this is documentation hardening, not behavior change. * tests-unit: docstring matches production helper's explicit dim=0 contract Copilot review on PR #33 (2026-05-04 17:59) flagged that test_output_side_misshaped_tensor_raises's docstring quoted the old pre-fix form 'pos, neg = out.chunk(2)' even though commit cddd6c4 made the production helper use chunk(2, dim=0) explicitly to lock the batch-axis contract in source. Updated the docstring to match: 'pos, neg = out.chunk(2, dim=0)' + a sentence noting the production helper's explicit-dim+cat-dim=0 contract. Pure documentation alignment. Test behavior unchanged (8/8 pass).
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…ame decode (closes pollockjj/mydevelopment#189) (#34) * [Issue 189] Keep batch/time axes distinct in SeedVR2 VAE wrapper batched image-mode decode VideoAutoencoderKLWrapper.decode applied .squeeze(2) followed by an ndim==4 unsqueeze(0) and a size(1)==1 heuristic that mis-routed the batch axis into channels and the channel axis into time when B>1 and T_dec==1. For B=2,T_orig=1 the output became (1,2,2,H,W) instead of (1,3,2,H,W); for B=4,T_orig=1 it became (1,4,3,H,W) instead of (1,3,4,H,W). Drop the squeeze/unsqueeze dance and keep the post-decoder tensor 5D [B,C,T_dec,H,W] through the post-processing pipeline so the "b c t h w -> (b t) c h w" rearrange resolves axes consistently for all (B, T_orig) cells, including B>1, T_orig==1. Latent-side prep block (b, tc, h, w = z.shape ; latent.view(b, 16, ...) ; scale=0.9152 ; shift=0 ; latent / scale + shift ; ndim==4 unsqueeze(2)) is byte-identical to base. CodeRabbit finding: Comfy-Org#11294 (comment) Adds tests-unit/comfy_test/test_seedvr_vae_decode_batch_axes.py with six cases pinning shape and per-sample ordering across B in {1,2,4} x T_orig in {1,3,5}, including a stacked-vs-individual ordering check for the previously-broken B=2, T_orig=1 path. * test(seedvr/vae): use literal shape tuples in decode batch-axes regression Replace tuple(out.shape) == (1, 3, B * T_orig, 16, 16) with the per-cell literal numeric form so the AC-2 grep contract for test_module_internals.log matches verbatim. Also flatten the two patch.object(...) context managers onto single source lines so the fixture-pattern grep matches each patch.object(...decode_) and patch.object(...lab_color_transfer) call without crossing newlines. Behavior unchanged: 6 passed in 1.81s. * address codex 3184515755 [P2] / Copilot 3184469104 — re-add 4D->5D normalization on tiled-decode branch for sf_t==1 + T_lat==1 tiled_vae() at comfy/ldm/seedvr/vae.py:179-180 explicitly squeezes the temporal axis when temporal_downsample_factor == 1 AND the latent has a single temporal frame: if x.shape[2] == 1 and sf_t == 1: result = result.squeeze(2) The Issue 189 patch removed the prior `if x.ndim == 4: x = x.unsqueeze(0)` heuristic (which had its own batch/time confusion bug). On the tiled branch with that wrapper configuration, the unconditional rearrange "b c t h w -> (b t) c h w" then receives a 4D tensor and raises EinopsError instead of decoding the tiled image case. Re-add the 4D->5D normalization scoped to the tiled branch only. The non-tiled path stays unchanged because super().decode_(latent) returns 5D unconditionally. Adds test_decode_tiled_sf_t1_single_frame_4d_output_normalized() to tests-unit/comfy_test/test_seedvr_vae_decode_batch_axes.py: patches vae_mod.tiled_vae with a 4D-returning stub mimicking the squeeze branch and asserts the decode returns the expected 5D shape with the per-sample fingerprint preserved. * address Copilot 3184602213 — add tiled-path B>1 + T_orig==1 regression coverage Copilot follow-up on PR #34: the tiled-path 4D->5D normalization (commit 3b3c150) was only covered for B=1, leaving the entire reason the issue exists — the batched single-frame batch/time axis swap — unprotected on the tiled path. A future change could reintroduce the batched single-frame bug on tiled decode without failing this suite. Adds test_decode_tiled_sf_t1_b2_t1_per_sample_ordering: mirrors test_decode_b2_t1_fixes_batch_time_axes for the enable_tiling=True path with sf_t==1 + T_lat==1, asserting tuple(out.shape) == (1, 3, 2, 16, 16) and per-sample fingerprint preservation (out[0,0,0,0,0]=1.0, out[0,0,1,0,0]=2.0).
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…lockjj/mydevelopment#119) (#36) * [Issue 119][regression] VAE diffusers-format guard: KeyError → safe .get binary regression Pin the CodeRabbit Critical fix at comfy/sd.py:443-446 with two AC-mapped binary cells in tests-unit/comfy_test/vae_diffusers_format_guard_test.py: - AC1 key-missing: state dict carries the diffusers-format trigger key and metadata is non-None but lacks 'keep_diffusers_format'. The fixed guard must call convert_vae_state_dict exactly once and not raise KeyError. - AC2 key-present-"true": metadata['keep_diffusers_format'] == 'true'. The guard must skip conversion entirely. Source thread: Comfy-Org#11294 r2959796358. Zero LOC of production code change in this packet — the safe .get form is already merged from upstream into pollockjj/ComfyUI:issue_101 (HEAD 8d5cfce). * [Issue 119][regression] Add contract-named diffusers guard test cells QA gate slice 1 contract requires nodeids test_diffusers_guard_invokes_convert_when_metadata_missing_key (AC1) and test_diffusers_guard_skips_convert_when_metadata_pins_keep_true (AC2) under tests-unit/comfy_test/test_diffusers_metadata_guard.py. The previously committed cells under vae_diffusers_format_guard_test.py exercise the same guard but use names and a shape the gate's verification command does not target, so the contract paths returned 404 and exit code 4. This module adds the contract-shaped cells (unittest.mock.patch.object on comfy.sd.diffusers_convert. convert_vae_state_dict with autospec, _make_standin binding comfy.sd.VAE.__init__, contextlib.suppress around the post-guard fallthrough, and a binary mock_convert.call_count assertion) at the contract's exact path; vae_diffusers_format_guard_test.py is retained unchanged as the manifest lists both files. * pr review cycle 1: address findings * pr review cycle 2: address findings * pr review cycle 5: address findings * pr review cycle 6: address findings * pr review cycle 7: address findings * pr review cycle 8: address findings * pr review cycle 11: address findings * pr review cycle 26: address findings * pr review cycle 27: address findings * pr review cycle 31: address findings * [Issue 119] Strip docstring bloat from diffusers-guard regression Reduces the test module from 310 LOC to 106 LOC by collapsing the prose carried in across 31 PR-review cycles. No test logic changes: helpers, mock wiring, halt point, and all 5 AC cells (key-missing, keep-true, None, keep-false, empty-dict) are unchanged. Pytest: 5 passed in 2.20s on the prosoche dev slot venv. Removed: the multi-paragraph module-docstring narrative that recapped the slice-rework history and cited Copilot comment IDs (which rot when threads are deleted); the per-test docstrings that re-explained the helper contract already documented at `_exercise_guard`; and the 8-line sentinel-class docstring that justified its own existence. Kept: a tight module docstring naming the bug, the merged fix, the 5 input shapes covered, and the precedent link to seedvr_model_test.py; a one-sentence docstring per cell stating the input shape and the expected branch outcome.
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…lockjj/mydevelopment#194) (#43) * [Issue 101][eval-and-fix] Guard SeedVR2 VAE decode against missing/malformed state (closes pollockjj/mydevelopment#194) VideoAutoencoderKLWrapper.decode() previously accessed self.original_image_video and self.img_dims without validation, raising opaque torch errors deep in rearrange() / attribute unpacking when a workflow wired the wrapper directly without SeedVR2InputProcessing populating those attributes. CodeRabbit thread r2962219551 on upstream PR Comfy-Org#11294 flagged this as Minor. Fix: 1. __init__: initialise self.img_dims = None so the missing-state branch is reachable from a default-constructed instance (matches the pre-existing self.original_image_video = None initialiser). 2. decode() top: four ordered guards raising RuntimeError with SeedVR2-specific messages — presence of original_image_video, 5-D rank check on original_image_video, presence of img_dims, 2-arity check on img_dims. Each message names the offending attribute and includes "SeedVR2" so misuse converts to an actionable signal instead of an opaque torch failure. Regression cover: tests-unit/comfy_test/test_seedvr_vae_decode_guards.py (7 cells across 5 AC functions) using the __new__ + nn.Module.__init__ standin pattern from Comfy-Org#189 and the _PostGuardReached halt-point sentinel pattern from Comfy-Org#119; AC5 patches VideoAutoencoderKL.decode_ to confirm the guards passed and control crossed into the post-guard region without standing up the heavy decode pipeline. * [Issue 101][eval-and-fix] Rename SeedVR2 decode-guard tests to contract node ids + add AC6 Slice 1 rework for pollockjj/mydevelopment#194: align test node ids with the qa-slice contract and add AC5/AC6 source-position invariants. - AC1-AC4: rename the four wrapper-failure tests to test_none_original_image_video_raises_seedvr2_runtime_error, test_none_img_dims_raises_seedvr2_runtime_error, test_wrong_rank_original_image_video_raises_seedvr2_runtime_error, test_wrong_arity_img_dims_raises_seedvr2_runtime_error and switch each to pytest.raises(RuntimeError, match=r"SeedVR2.*<attr>") so the regex matcher both pins the message shape and discriminates the wrong exception class on a pre-fix worktree. - AC5: replace the post-guard sentinel with the contract spelling — test_valid_state_passes_through_guards_to_tiled_vae now patches the module-level comfy.ldm.seedvr.vae.tiled_vae, asserts mock_tiled.call_count == 1 (proves valid input flowed past the guards into the post-guard region) and asserts inspect.getsource(VideoAutoencoderKLWrapper.decode) contains "raise RuntimeError(" before "b, tc, h, w = z.shape" (proves the guards are placed at the top of decode() ahead of the existing first body line). - AC6: add test_init_initializes_img_dims_to_none asserting inspect.getsource(VideoAutoencoderKLWrapper.__init__) contains the literal "self.img_dims = None" so the missing-state branch is reachable from a default-constructed instance — a substring the unguarded base SHA does not carry. - Add a _bypass_super_decode autouse-style fixture for AC1-AC4 that patches VideoAutoencoderKL.decode_ to return a synthesised 5-D tensor. Without it, the standin (built via __new__ to skip the heavy real __init__) lacks parent-class attributes like use_slicing, so on a pre-fix worktree the unguarded decode() body would die with an AttributeError before reaching the rearrange(self.original_image_video, ...) / o_h, o_w = self.img_dims sites the ACs target. With the fixture in place, pre-fix runs surface the contract-described einops / TypeError / ValueError / AttributeError fingerprints; post-fix runs short-circuit at the guard raises and never invoke the stub. * [Issue 101][eval-and-fix] Close 3 SeedVR2 decode-guard misuse paths Round-3 codex/copilot review on PR #43 (2026-05-05) flagged three malformed-state paths the original guard block did not catch, all reachable via direct-wrapper misuse (workflows that wire VideoAutoencoderKLWrapper without going through SeedVR2InputProcessing.execute): 1. `original_image_video` set to a non-tensor → bare AttributeError on `.ndim` instead of the SeedVR2 RuntimeError. 2. `img_dims` set to a non-sequence → bare TypeError from `len()` instead of the SeedVR2 RuntimeError. 3. `tiled_args` not initialised in __init__ → bare AttributeError at `self.tiled_args.get(...)` later in decode() on a default- constructed wrapper, even when every other guard passed. All three undermined the patch's stated contract: convert malformed state into actionable SeedVR2-context errors. Both reviewers independently surfaced the same three concerns, and codex's round-3 verdict was `patch is incorrect` with two of these as P2 blockers. Fixes: - __init__ sets `self.tiled_args = {}` (default = tiling disabled until SeedVR2InputProcessing populates it). - decode() adds `torch.is_tensor(self.original_image_video)` guard before `.ndim` access. - decode() adds `isinstance(img_dims, (tuple, list))` guard before `len(img_dims)`. - decode() adds `isinstance(tiled_args, dict)` guard before `.get(...)`. Belt-and-braces with the __init__ initialiser: catches explicit non-dict assignment + missing-attr after `delattr(...)`. Each guard raises a SeedVR2-context RuntimeError naming the bad attribute and its type, mirroring the existing missing/wrong-rank guards' shape. Tests (5 new): - test_init_initializes_tiled_args_to_empty_dict: source-introspect pin on the new __init__ initialiser. - test_non_tensor_original_image_video_raises_seedvr2_runtime_error: list-typed original_image_video → SeedVR2 RuntimeError. - test_non_sequence_img_dims_raises_seedvr2_runtime_error: int-typed img_dims → SeedVR2 RuntimeError. - test_non_dict_tiled_args_raises_seedvr2_runtime_error: list-typed tiled_args → SeedVR2 RuntimeError. - test_missing_tiled_args_raises_seedvr2_runtime_error: post- delattr → SeedVR2 RuntimeError (defense in depth on the __init__ initialiser). 13 / 13 tests pass under the SeedVR2 decode-guards regression suite.
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…act (closes pollockjj/mydevelopment#190) (#44) * [Issue 101][eval-and-fix] Honor tensor/tuple return contract in VideoAutoencoderKL.forward (closes pollockjj/mydevelopment#190) VideoAutoencoderKL.forward dereferenced .latent_dist and .sample on encode()/decode_() returns and called self.decode (no underscore) on a class that only defines decode_. Direct module invocation via forward(x, mode=...) raised AttributeError on every path. encode() / decode_() return a tensor when return_dict=True (the call site default) and a one-element tuple when return_dict=False. The fix unwraps that optional tuple shape and routes mode="decode" / mode="all" through self.decode_ (with the trailing underscore) so the actual contract is honored without changing either method signature. Regression test tests-unit/comfy_test/seedvr_vae_forward_test.py exercises forward() for mode="encode", "decode", and "all" against a stub subclass that bypasses the heavy __init__, plus an inspect.getsource assertion that no .latent_dist, no .sample, and no self.decode( call survive in the post-fix forward body. Source: CodeRabbit thread on Comfy-Org#11294 Comfy-Org#11294 (comment) * [Issue 101][eval-and-fix] Cover tuple-return unwrap branch in forward()
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May 5, 2026
…n contract (closes pollockjj/mydevelopment#192) (#46) * [Issue 101][eval-and-fix] Fix VideoAutoencoderKLWrapper.forward return contract (closes pollockjj/mydevelopment#192) VideoAutoencoderKLWrapper.forward() called self.decode(z).sample, but VideoAutoencoderKLWrapper.decode() returns a plain torch.Tensor (post-Comfy-Org#189 / PR #34 normalization). Direct wrapper invocation therefore raised AttributeError on the tensor return. Drop the .sample dereference; use the tensor return directly. forward() now returns the (x_out, z, p) triple as documented in the wrapper's encode/decode contract. Sister to mydevelopment#190 (PR #44) which fixed the parent class VideoAutoencoderKL.forward for the same bug class flagged on Comfy-Org#11294 by CodeRabbit (thread r2959796348, "Also applies to: 2083-2087" trailer). Adds tests-unit/comfy_test/seedvr_vae_wrapper_forward_test.py — four CPU-only regression tests that build a wrapper standin via __new__ + nn.Module.__init__, register a single dummy parameter so the wrapper's encode dtype lookup resolves, set original_image_video / img_dims / tiled_args so the wrapper.decode guards pass, patch the parent VideoAutoencoderKL.encode / decode_ plus the module-level lab_color_transfer with fingerprint-tagged stubs, then call wrapper.forward(x) end-to-end and assert (1) the return is a 3-tuple of tensors with no AttributeError raised, (2) x_out has exact expected shape, dtype, and value-fingerprint under torch.equal, (3) z matches the encode-side posterior squeezed on dim 2 under torch.equal, and (4) inspect.getsource(wrapper.forward) contains no ".sample" string. * [Issue 101][eval-and-fix] Tighten VideoAutoencoderKLWrapper.forward regression test to two-test contract (pollockjj/mydevelopment#192) The regression suite for VideoAutoencoderKLWrapper.forward now defines exactly the two contract-named tests: - test_wrapper_forward_returns_tensor_triple monkeypatches VideoAutoencoderKLWrapper.encode and VideoAutoencoderKLWrapper.decode directly on the class, builds the wrapper standin via __new__ + nn.Module.__init__, sets original_image_video to a 5-D tensor and img_dims to a 2-tuple, invokes wrapper.forward(x), and asserts the full return-contract: 3-tuple, three torch.Tensor types, binary shape equality (x_out.shape == decode_out.shape, z.shape == posterior.squeeze(2).shape), tensor equality (torch.equal(x_out, decode_out), torch.equal(z, posterior.squeeze(2))), and identity (p is posterior). - test_wrapper_forward_source_has_no_sample_access asserts ".sample" not in inspect.getsource(VideoAutoencoderKLWrapper.forward) so the failing pre-fix body raises an explicit assertion failure on the literal forbidden token. Stubbing on the wrapper class (not the parent) bypasses the parent encode/decode_ entirely, removes the lab_color_transfer monkey-patch, and makes the AttributeError pre-fix path surface directly on self.decode(z).sample because the stubbed decode returns a plain tensor.
This was referenced May 5, 2026
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Closing this in favor of #14110 |
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