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HC(HphHHL$fH=HH)H*^ID$PHu$@HHtH9pu]D1)H1It$HHI@HAHHL\HHHHAWAVLXAUATILUHSHXI\$HHՕHt0Lh`@pMt#LHXL[]A\A]A^A_fA$u HLHD$IŹ1HuLHLmIHHD$(HT$ HHHLl$ HD$8HD$0HD$@.hHHuHULhHEL{(H{L{HCH|$?HE(LKPHu0H{@HU8LK@HC8HLL$EPI|$XHsLL$C`MD$HH1IID$@LIHMIHHH9t,H(HHMI1HII9HH9uI;H{@I9t HCPHpH{I9t HC(HphHHL$fH=HH)H*^ID$PHu$@HHtH9pu]D1)H1It$HHI@HAHHL\HHHHAWAVLXAUATUHLSHHHLmHLHt1L``@pMt$LHHL[]A\A]A^A_f.Eu HH@IIĹH11LH{8HtHS0CPHsLI$HHD$HT$HLH9Ld$HD$(HD$ HD$0&hIHsHSL`HI}HH|$AEIE(IE7HC(Hs0I}@HS8IE8IEPIE@HCPH}XI}AE`LMHH1IHE@LIHMIHHH9t,LMIHI1HII9LH9uI:L,fH=L)HH*^ HEPHu%DHHtH9xu1yfH1HuHHH@HALHkI$L@E1HHHHff.AWAVLXAUATUHLSHHHLmHLHt1L``@pMt$LHHL[]A\A]A^A_f.Eu HH@IIĹ1HsLHLнI$HHD$HT$HLHLd$HD$(HD$ HD$0HhIHsHSL`HI}HH|$AEIE(IEYHC(Hs0I}@HS8IE8IEPIE@H5CPH}XI}AE`LMHH1IHE@LIHMIHHH9t,LMIHI1HII9LH9uI:LNfH=L)HH*^HEPHu%DHHtH9xu1wfH1HuHHH@HALHiI$L@E1HHHHff.UHXHAWAVIHAUATSHHHÅIFHHHHt;@pH@`HHt'HHHe[A\A]A^A_]DA6uHLHHH1HHH H5L`Zxfo LA8fH~fH~̀foIHL0AG AAPHIGHIGH`HHtLAEIXHHIύtPt{LeH5L1HLL2H}I(LmL9t HEHpH5LHHL9HH}H0L9t HEHpLHH=HAG EOEAOP1XLMo(ZHH@LPHHHxUPLHHHAHLH蘘H@L9tHPHpHIp;X@AٺLL@1LL@HHHwHIHJL;HH1HHH@HHPs+*HH@I$LHItHtHPHH)H)ǃrL1ƃL7L29rL@HHH8pVHzqHH`1HtLHELH{LHHEHLEL}HEhLxHxLHHI~XH{MNHH1IIF@LIHMILHHH9t,LMIHI1HII9LH9uI:LHHfH=HH)H*^IFPHt^HfDHHt@H9xuHfDA$AT fTfDHH1IvHHI@HAHL+H=LHHHXHHHHDž@H$ofA$ɉAT Tf.L?IHHHHH@AWIAVAULXATUSHLH8LcLLHt1Hh`@pHt$LH8H[]A\A]A^A_f.u LHI1HHAO,AW(HIw藤H`H?HD$HLLHeH,$HD$HD$HD$ ChHhHxLIHH{XI|$LKHH1IHC@LIHMIHHH9t,LMIHI1HIL9LH9uI:L蒁fH=L)HH*^cHCPHu%DHHtH9xu1fH1HsHHH@HALHeHHtHH)HHtHH)HȡHtHءH)HXH1HHHHy.ȃ@t0ǃ@tE this->size() (which is %zu)[Store] FATAL: silence cannot open %s [Store] FATAL: silence_latent not found in %s [BPE] Tokenizer not found in %s [BPE] Loaded from GGUF: %d vocab, %d merges [Store] FATAL: DiT config cannot open %s acestep-dit.feed_forward_lengthacestep-dit.attention.head_countacestep-dit.attention.head_count_kvacestep-dit.attention.key_lengthacestep.audio_acoustic_hidden_dimacestep-dit.attention.layer_norm_rms_epsilon[Load] FATAL: invalid DiT config in %s [Store] FATAL: DiT cannot reopen %s for metadata [Store] FATAL: null_condition_emb unexpected type %d [GGUF] FATAL: tensor '%s' not found [GGUF] FATAL: tensor '%s' not in meta context [GGUF] FATAL: QKV tensor not found: %s / %s / %s q_src->ne[0] == k_src->ne[0] && k_src->ne[0] == v_src->ne[0]/mnt/workspace/git/acestep.cpp/src/gguf-weights.h[Adapter] WARNING: no PendingCopy for %s, skipping [Adapter] WARNING: no requant for type %d [Adapter] WARNING: incomplete or ambiguous LoKr module %s, skipping [Adapter] WARNING: no GGUF tensor for %s, skipping [Adapter] WARNING: tensor %s not in GGUF, skipping [Adapter] WARNING: LoKr rank mismatch w2_a=%lld vs w2_b=%lld for %s [Adapter] WARNING: monolithic LoKr %s needs __metadata__.lokr_config.linear_dim, skipping [Adapter] WARNING: LoKr shape mismatch for %s: kron(%lldx%lld, %lldx%lld) = %lldx%lld vs GGUF out=%lld in=%lld [Adapter] WARNING: unsupported alpha dtype %s for %s, skipping [Adapter] WARNING: unsupported dtype %s for lokr_w1 %s [Adapter] WARNING: unsupported dtype in LoKr module %s, skipping [Adapter] WARNING: unsupported dtype %s for lokr_w2 %s [Adapter] WARNING: dora_scale dim0 %lld != out_feat %lld for %s [Adapter] WARNING: unsupported dora_scale dtype %s for %s [Adapter] LoKr merged %d modules (%d factorized, %d monolithic, %d with DoRA, skipped %d), scale=%.2f [Adapter] path does not exist: %s [Adapter] directory %s is not a PEFT layout, missing adapter_model.safetensors [Adapter] WARNING: PEFT directory %s missing adapter_config.json, alpha falls back to rank (scaling=1.0). If training used lora_alpha != rank, the merge will be under or over scaled. [Safetensors] File too small %s [Safetensors] Header overflows file %s [Safetensors] Failed to parse header %s [Safetensors] %s: %zu tensors [Adapter] adapter_config.json: alpha=%d [Adapter] WARNING: rank mismatch A=%lld vs B=%lld for %s [Adapter] WARNING: shape mismatch for %s: LoRA [%lld,%lld] vs GGUF [%lld,%lld] [Adapter] WARNING: unsupported dtype %s for lora_A [Adapter] WARNING: unsupported dtype %s for lora_B [Adapter] LoRA merged %d pairs (skipped %d), scale=%.2f [Adapter] WARNING: no lora_B for %s, skipping [GGUF] WARNING: gf_load_tensor_f32 unsupported type %d for '%s', loading as-is .post_attention_layernorm.weight[Qwen3] Attn: Q+K fused, V separate [Qwen3] MLP: gate+up separate tokenizer.audio_acoustic_proj.weighttokenizer.audio_acoustic_proj.biastokenizer.attention_pooler.embed_tokens.weighttokenizer.attention_pooler.embed_tokens.biastokenizer.attention_pooler.special_tokentokenizer.attention_pooler.norm.weighttokenizer.quantizer.project_in.weighttokenizer.quantizer.project_in.biastokenizer.attention_pooler.layers.%d[Tok] Loaded: 2 layers, H=%d, pool_window=5 tokenizer.quantizer.project_out.weighttokenizer.quantizer.project_out.biasdetokenizer.embed_tokens.weight[Load] Detokenizer: FSQ(6->2048) + 2L encoder(S=5, 2048->64) [LM-Load] FATAL: cannot load %s [LM-Config] No acestep.config_json, using 0.6B defaults [LM-Config] %dL, H=%d, V=%d, Nh=%d, Nkv=%d, D=%d, tied=%d [LM-Load] FATAL: invalid n_layers=%d (max %d) [LM-KV] FATAL: failed to allocate KV cache [LM-KV] Allocated %d sets x %d layers (4D batched), %.1f MB encoder.lyric_encoder.embed_tokens.weightencoder.lyric_encoder.embed_tokens.biasencoder.lyric_encoder.norm.weightencoder.timbre_encoder.embed_tokens.weightencoder.lyric_encoder.layers.%dencoder.timbre_encoder.embed_tokens.biasencoder.timbre_encoder.norm.weightencoder.timbre_encoder.layers.%dencoder.timbre_encoder.special_token[Load] CondEncoder: lyric(%dL), timbre(%dL%s), text_proj, null_cond [Load] FATAL: invalid DiT config in GGUF [GGUF] FATAL: meta tensor '%s' not found [GGUF] FATAL: unsupported type %d for '%s' in proj_in pre-permute decoder.condition_embedder.weightdecoder.condition_embedder.bias[DiT] Self-attn: Q+K fused, V separate [DiT] Self-attn: all separate (3 types differ) [DiT] Cross-attn: Q separate, K+V fused [DiT] Cross-attn: all separate [DiT] Cross-attn: Q+K+V fused [DiT] MLP: gate+up separate (types differ) [GGUF] FATAL: unsupported type %d for '%s' in proj_out pre-permute [Load] null_condition_emb found (CFG available) [Adapter] FATAL: no tensors merged (model mismatch) [Adapter] Merge time: %.1f ms [Load] DiT: %d layers, H=%d, Nh=%d/%d, D=%d [Store] FATAL: evicting %s (refcount=%d) to make room in STRICT mode [Store] WARNING: release of unknown handle %p [Store] WARNING: release of handle %p whose entry is gone [Store] Load FSQ-Detok: %.0f ms [Store] Load FSQ-Tok: %.0f ms [Store] Load VAE-Dec: %.0f ms [Store] Load VAE-Enc: %.0f ms [Store] Load CondEnc: %.0f ms [Load] TextEncoder: %dL, H=%d, Nh=%d/%d [Store] Load TextEnc: %.0f ms H=H=H=HHHH=Mt LLHH=Mt LLHH=Mt LLHH=IH|$ u$LH=LHHt$8H|$ HtHHH=Mt Ht$8LHCHtH{HHHD$PHtH|$@HMt H4$LMtHt$8LMe(H{H9<$t HCHpH߾@L@HHHMt Ht$0LtMtH$LtMtH$LHCHtH{HHH$HtH$HH|$tHt$pH|$Mt Ht$0LMtH$LMtH$L11HHHHHHH|$HD$Mg(Hx8I9tHD$H@HHpHD$HD$HxH9|$u'H|$HHHH@ HpHD$HHH=H|$HHH$HHHH=H=H=H=H=H=H=H=HH$`HHcH=H=H=H=H=H=H=H=H=rH=H=H=H=H=1,H=H=H=H=H=LHH|$0H$HLHH=H=LHH$0H=H=LH=H=LHHH|$8AH$H|$8*H|$0HLH=H=Ht 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MTHHHI)EM)AARAE1EAKJE9r2NEɉHBL CLHNH1AWAVAUATUSHH8HGH8D@H AB:GD@H AB8Ft Ll$HLHC(HS Lt$ L{(HCLc"L Lt$Hcu HHl$HHuA$D$ LLl$Hl$LL(H|$L9tHD$ HpHC(HS H8[]A\A]A^A_H81[]A\A]A^A_HtLLl$/fLl$Ht$1LHD$HHD$HD$ HLHl$HD$:H H=LHAWAVAUATUSHHH9HGHH8D@H AB:uGD@H AB:F9~"HcLl$ HLHE(HU L|$0HMD HELc2AL0L|$ Mcu MLd$IIuyAD$0LLl$ Ld$(LHB H|$ L9tHD$0HpHE HU(HH[]A\A]A^A_@HH1[]A\A]A^A_MtLLl$ 9fLl$ Ht$1HL$LHL$HD$ HHD$HD$0LLHL$Ld$HD$ HL$+H H=LH<|endoftext|>revestmd [BPE] WARNING: unknown token '%s' AWfAVAUATUSHHHGH$H$Ht$H5HH$H$H$1HxfH)H9)H$H)H$H$H$L#H$H$IH9HFH$HHHH<"H$H$H$H|H$HAH;AH|$Hp PHAH$H$H$H$H9tH$HpH$H;hH$H$HH$HHKH$HH9(H$H)H$H$HH$H$H$H$L IH#HA$$H$H$H$H H$H$H$H9tH$HpH$HH[]A\A]A^A_A$$>L$H$1LH$HH$H$HLH$H$HD$HHp !HH$>fL$H$1LH$HH$H$HLH$H$H$pH$$fL$H$H$ H$(fHnH\$fHnH$0H$fHnflH$fHn$HDŽ$@t$L$pDŽ$)d$@)l$0)t$ )$0E1L$f.IcHt$M4)LAǃ'~= sDA9H$LAGЃ A9IcH$pH#ff.fDPH$9~0 vA9H$ L$HD$HD$H$H$H$LHDŽ$Ƅ$!$ H$HD$H9tH$ HpD$HA9>H$pwH$IcLHfD$A9MMcLK< HH&HA9| yI$D9~CD t tD)IcLcH$ LHD$H$L$I`IM4 HD$L$H$LB0H$HD$H9tH$ HpD$A9xL$pbD$ 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HLHhH(foHH:HrHBHtH)HH@HHhLHYfo H0HDž0I>IvAfIF) Ht#H)H H0H)HtH9I$A$AD$AD$!AƄ$IDŽ$ID$I;D$tID$I$ I;$(tI$(AuDAD$"fHHLHhH.,HHLHhHHhIMHLH[InstrumIE H98Humental]H9PHH5HhIMh LHfH5HZHGH+HHh LLVLHH`HfHHHk0HH0@@H9u쉍t&H`HHHkH1fHPHH`LHHhHp H1ɉȠMHHHHHHHLHHLHHLHHHHHHHHHHHHHHHHHHHHHHHHLHHLHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHIHHHHHtHwHH)fHHtHwHH)fHBSHHIHIӃI?IIL9|ff.f.HHVHHL@ N A/v (LL I9HL@LH?LHH9L\ff.ff.ff.fD HVHH?HHHHH9}XHLHA/w[DILH?LHH9gHDH4 HNDL[HHuILH?LHH9uHvector::_M_range_insertbasic_string::append:basic_string::substrpositionscausal_masktoken_idskv_rowslogitsbpm: caption duration: keyscale: language: timesignature: yesno[Ace-LM] FP16 clamp enabled attn_mask<|endoftext|>revestmdsystem user assistant system # Instruction user # Lyric user # Caption # Lyric sharedindependentshared, 1 cond + 1 uncondindividual, N cond + N uncond[LM-Phase2] N=%d, CoT[0]: %s[LM-Phase2] Decode %.0fms [LM-Phase1] Decode %.0fms completefill gapsfillgeneratekeep,formatinspirelm_head_phase2# Instruction [Instrumental] instrumental: trueunknown# Caption [%s Batch%d] seed=%u: %s bpmdurationkeyscalecaption: duration: keyscale: # Lyric w%s%dwbFormatInspireH=H=H=H=H=H=HHHLH5H=1H=H=HLHHLHH\$H<$uKHHD$Ht LHHt LHL1H=Ht$H<$륐LHHH|$LHLHHH=HHH=H|$HLHHH=H=HHjH=LHH=LHLH5H=1H=@H=H=H=H=H=H=H=7H=H=H=LLH|$HHH\$H9ttHHèLLH|$HHH9l$tH\$HHHHD$HHHHHt$H|$HHH=LHH=LHH=H=H=HHH$H$H$H$H8HpH)HtHLHLHD$H$L$PH$xH$LH$PHD$ H$XHD$`H$`H$H$:L HD$XLL$PH$HD$H$H$H$ cH=H=H=H=H=HH5H=1HH5H=1HH=H$HH=H=H=H=H=HL$PxH$PLH$H$XHD$ H$`HD$`AH\$XHD$H9t0HH H\$XHD$H9t9HH HH|$X_H|$XLMHL$PH|$XLHH)HtHLHH)HtHLHH)HtHLHH)HtHLH=H=L|$pHt$(L)MHH;HsH)HtLLL)MtLHHt$L)MtLHLLH|$IHHLH|$InLL)MtLHNHt$ L)MtLHLLH=H=HLLH|$H|$ LH;HsH)HtHLL)MtLHLLL)MtLHLHH|$HqHLHLH=L$H=H=Ht$(L)MtLHLH=HLHt$(L)M(LH$H=HD$ HH|$ H|$IH;HsH)HtLHHIH=H=H=HH<$IH=H=H=H]HLH|$ H|$HH=HLH=HHpHH HH)HtHHHH)Ht HLL9xIIHHH)HtLHIHIHLHHpHHHXH)HtHHH8H)HtHH0HH)Ht HHHH)HHHH)Hu8HPH0HHHHH=H=Ht LHLHIHH0Hu|L|HH2H0H`HH`H0HHHHHHHLHtIHHH=H0HHH)ZH0H`JHHHeH=H=HLH0H@H)HtH>HHH=HEH=HHHhHHHLHLaHLQHLAHL1HLPI|$ It$0H)HtHPLI} Iu0H)Hu*HPLHHH{ Hs0H)HtHPHHHLHHHI} Iu0H)Hu*HPLHHϐH<$HHDž H=HHHMtH LHHpHpHHxHXHEHHEH@HXHHHH)HtHHHH)Ht HHHxH)Ht HxHHH)Ht HLXML98I`IpH)HtI@IPH9tIPHpI I0H9tI0HpIIH9tIHpIIH9tIHpIIH9tIHpIIH)HtIIH9tIHpIXH HHHHHHHxHH)HEHXMHMtH LHHLXL)MtLLHHXHEHHEHhHE,H=HXHLHEHXHH(IHEHHEHEHH`H)HtHHHH)Ht HH0HH)Ht HHHH)HHELHXH=HHHH1E1H HHEH=HXHHL&H(HHtHHHEHXfHHEHXE1H=HKHxHHH)HEHXHEH=HXHEHHXHH0H)HEHXlIPIH1H1IHIPI`IXIxH9t HLXIHtIH{H{8HsHL{H)HtH{ Hs0H)HtH߾PLIHtIH{H{8HsHL{H)HtH{ Hs0H)HtH߾PLIHtIH{H{8HsHL{H)HtH{ Hs0H)HtH߾PLIHtIH{H{8HsHL{H)HtH{ Hs0H)HtH߾PLIPHtIH{H{8HsHL{H)HtH{ Hs0H)HtH߾PLI(I8LXH)HtII H)HtIIH)HtIIH)HtIIH)HtIIH)HtIIH)HtIƀH 1HH`HH@H HHHH HH HHHHptHHpHHLHH 1HH`HHHH@H HHHH5H=1E1H L HHPHHHHHHhHpLHHHXHHHhLLH H LLtLH5H=1HLeLLH@LLHLH@HHHH)HHHLH@M)LLHHH)HtHLLM)MuH5H`HHH H 1H H HH5H=1HH5HH=1LH5H=1LLLL_HHX1H H HHLqHH@YH=LH5H=1LH@HHHt LHLE1H L HLLcannot create std::vector larger than max_size()basic_string: construction from null is not valid%s: __pos (which is %zu) > this->size() (which is %zu)[LM-Forward] FATAL: kv_len %d > max_seq %d [LM] FATAL: failed to allocate graph (prefill, %d tokens) [Ace-LM] ERROR: store and model_path are required [Ace-LM] Ready: path=%s, max_seq=%d, max_batch=%d, fa=%s, fsm=%s [Ace-LM] Batched CFG disabled (split N=1 forwards) [LM-Batch] FATAL: kv_len %d > max_seq %d (set %d) [LM] FATAL: failed to allocate graph (batch decode, N=%d) [BPE] WARNING: unknown token '%s' Generate audio semantic tokens based on the given conditions:[LM-Phase2] max_tokens: %d, CFG: %.2f, N=%d, prompts=%s [LM-Phase2] Prefill %.0fms (%s) [LM-Phase2] Cancelled at step %d [LM-Phase2] Step %d, %d active, %d total codes, %.1f tok/s [LM-Phase2 Batch%d] seed=%u, %zu codes [LM-Phase1] Prefill %.0fms, %zu tokens, N=%d, CFG=%.2f, prompts=%s [LM-Phase1] Cancelled at step %d [LM-Phase1] Step %d, %d active, %.1f tok/s [LM-Phase1 Batch%d] seed=%u, %zu tokens [Ace-LM] ERROR: n_req %d > max_batch %d [Ace-LM] ERROR: caption is empty (batch %d) [Ace-LM] ERROR: store_require_lm failed [LM] WARNING: failed to allocate partial head buffer, using full vocab [LM] Partial head: %d rows (%d..%d), %.1f MB [Ace-LM] ERROR: store_bpe failed [Ace-LM] ERROR: store_fsm failed [Ace-LM] ERROR: incompatible request shape (batch %d) [LM-Generate] audio_codes present, skip LM Expand the user's input into a more detailed and specific musical description:Format the user's input into a more detailed and specific musical description:[LM-Generate] mode=%s lyrics=%s metas=%s | %zu tokens, CFG: %.2f, N=%d WARNING: batch %d CoT parse incomplete [LM-Debug] Tokens -> %s (%zu) [LM-Debug] Logits -> %s (%d floats, argmax=%d) [LM-Generate] %s mode, no audio code generation [LM-Generate] User audio_codes present, no code generation [Ace-LM] Total %.0fms | N=%d seed=%lld UHSHH_Ht#ff.HHHuHEH}1H0HH}HuHEHEH9tHH[]@H[]9O& >TH 0C>`         n  HqgU0}yT    X   X  XNP)JOchh.w YL           })}B > z  OMML L MLMLLMMMM!M'ZM(M+WM,L4QL:L:M<M=M?LALBLCLDLELHLHLJLJLJLK,MYN$|$w$$|$2a2a2a2a,"A- vEv     5MQ!`            5 ^wKa     Z   ]*JmY)! 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/}fH=H*^HHZ[]ZA\A]ZA^A_fD/_fDE1((f/EDHH[]A\A]A^A_Ð/Wh\(YYD,(,C\%EMc@ƅI Ɖf/W\(%EDYYXXD,D,F,;McIcG(IHHT$f.WE1 HD$5YEDX t$85t$A8tD>fE8Hq >A 8dHHMHH)1t >A8tD>fE8Ht >A 8gH DE1H=H7HA$HHMHqHу1@t 9A8@tD9fE8Ho 9A 8bH CE1H=$ADX1AL:M9D9rM1DXHADX1AL:M9D9rM1DXHA$E~EIADX1AσL:M9D9rM DXHEHUIE~EI\HHHHHH[Pipeline-Synth] FATAL: store_require_vae_enc (pin) failed %s: __pos (which is %zu) > this->size() (which is %zu)[%s] WARNING: '%s' is not a standard track name [Synth-Load] ERROR: store and params are required [Synth-Load] ERROR: dit_path is NULL [Synth-Load] ERROR: text_encoder_path is NULL [Synth-Load] ERROR: vae_path is NULL [Synth-Load] FATAL: DiT metadata unavailable for %s [Synth-Load] Ready: turbo=%s, fa=%s, batch_cfg=%s [Synth-Load] FP16 clamp enabled [Synth-Load] Adapter: %s (scale=%.2f) [Outpaint] latent pad left=%.1fs (%d) right=%.1fs (%d) total=%.1fs [Outpaint] audio pad left=%.1fs right=%.1fs total=%.1fs Generate audio semantic tokens based on the given conditions:Fill the audio semantic mask based on the given conditions:[Synth-Run] ERROR: task 'cover' requires source audio or latents [Synth-Run] ERROR: task 'cover-nofsq' requires source audio or latents [Synth-Run] ERROR: task 'repaint' requires source audio or src_latents Repaint the mask area based on the given conditions:[Region] ERROR: end (%.1f) <= start (%.1f) [Region] %.1fs..%.1fs (canvas=%.1fs) [Synth-Run] ERROR: task 'lego' requires source audio or src_latents track based on the audio context:[Synth-Run] WARNING: %s requires base model, turbo output incoherent [Synth-Run] ERROR: task 'extract' requires source audio or latents [Synth-Run] ERROR: task 'complete' requires source audio or latents Complete the input track with [Synth-Run] ERROR: unknown task_type '%s' @t LLHLH5H=1HLHHHHHH@HHHHH=H=HHHHHHH=H=H=HHHiHHHUH=H=H=H= +x0~/ //F/i//i/ /!!i/#/$/$/%S%/&"<MH3^9$%s | basic_string::substrvocalsbacking_vocalsdrumsbassguitarpercussionstringssynthbrasswoodwindsyesnotext2musiccovercover-nofsqrepaintLegobasic_string::appendGenerate the [Synth-Run] task=%s legoextractExtractExtract the track from the audio:Complete:completeATUSHHHtH(H)HHtHH)HHtHH)HHtHH)HHtHH)HHtHH)HHtHH)HhHtHxH)HHHtHXH)L8H0I9t,H}H[HuHH)I9uH0HtH@HH)HHtH(H)LHI9t+fH}HHuHH)I9uHHtHHH)HHtHH)HHH9tHHpHHtHH)HxHtHH)H@HPH9tHPHpHH(H9tH(HpHHH9tHHpHHH9tHHpHHH9tHHpHHH9tHHpHpHH9tHHpHPH`H9tH`HpH0H@H9tH@HpHH H9tH HpHHH9tHHpHHH9tHHpHpHH9tHHpH0H@H9tH@HpHH H9tH HpHHH9tHHpHHH9tHHpHHH9tHHpLHI9t,H}HHuHH)I9uHHtHHH)H{`Ht HspH)H{HHt HsXH)H{(Ht Hs8H)H{Ht`Hs []A\H)HI9SpfDHI9fDHI9fD[]A\vector::_M_default_appendHAWAVAUATIUSHHHWHGH)HH9HH)HD$HIIIL)H9HL9MLCMI9LGILHHJ8HtHxH1M|H|$LI,$HDLID$Il$H[]A\A]A^A_HzHtH1HH)HPHI|$H[]A\A]A^A_@LL|$HLID$L)HH|$cIt$HD$H)H=@;GA?DGenerate the track based on the e audio context:Extract the track from the audioComplete the inpthe input track:GCC: (Debian 14.2.0-19) 14.2.0zPLRx L$BEB E(D0A8D` 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AtQHU@2z`tAlH=HZ $DH<$Ht$L\$ L|$(L|$0L\$ H|$(L|$0 Htoken_idsembed_out%s/%s.binwb[Debug] Cannot write %s [Debug] %s: [, %s%d] first4: %.6fsinusoidal%stemb_lin1%spositionsattn_maskoutputN/Aunknown%dbasic_string::append # Caption # Metas <|endoftext|> # Lyric <|endoftext|>input_latentsenc_hiddentt_rsa_mask_swca_mask_ttemb_t_rtemb_rtembtprojproj_in_inputhidden_after_proj_inenc_after_cond_emblayer0_sa_inputlayer0_q_after_ropelayer0_k_after_ropelayer0_attn_outlayer0_sa_outputlayer0_after_self_attnlayer0_after_cross_attnhidden_after_layer%dvelocityfsq_indetok_posdetok_outvector::_M_realloc_appendtok_intok_postok_out[Resolve-T] T=%d, S=%d detok_output (CLS)lyric_poslyric_inlyric_slide_masklyric_outtext_intext_proj_outtimbre_postimbre_intimbre_slide_masktimbre_outvae_inputvae_outputvae_audioenc_inputenc_output, CFG batched 2N, CFG 2-passbatched2-passODE Euler[DiT] Graph: %d nodes null_condition_embnull_enc_hiddeneulersdedpm3mstork4sinusoidal_tsinusoidal_rtemb_lin1_ttemb_lin1_rhidden_after_layer0hidden_after_layer6hidden_after_layer12hidden_after_layer18dit_step%d_vt_conddit_step%d_vt_unconddit_step%d_vtlowhighdoublepixdit_step%d_xt[DiT] Step %d/%d t=%.3f dit_output (cover)noisecontextbasic_string::substr text_hiddenlyric_embedSDE AncestralDPM++ 3MSTORK 4[TextEncoder] FATAL: failed to allocate graph (embed lookup, %d tokens) cannot create std::vector larger than max_size()[TextEncoder] FATAL: failed to allocate graph (%d tokens) - bpm: %s - timesignature: %s - keyscale: %s - duration: %d seconds [Context] FATAL: graph alloc failed [Context] Decoded: %d codes -> %d frames (%.1fs @ 25Hz) [STORK4] step %d t=%.4f: all sub steps NaN, Euler fallback [FSQ-Roundtrip] FATAL: store_require_fsq_tok failed [FSQ-Tok] OOM allocating graph context (%zu bytes) [Tok] FATAL: graph alloc failed [Tok] Tokenized: %d frames -> %d codes (%.1fs @ 5Hz) [FSQ-Roundtrip] FATAL: store_require_fsq_detok failed [FSQ-Roundtrip] %d->%d->%d frames, %.1f ms [Resolve-T] FATAL: use_source_context but no cover_latents and no audio_codes [Resolve-T] seed=%lld, steps=%d, guidance=%.1f, shift=%.1f, duration=%.1fs [Resolve-T] ERROR: T=%d exceeds silence_latent max 15000, skipping [Build-Schedule] WARN: custom_timesteps needs >= 2 values, falling back to shift [Build-Schedule] Custom timesteps: %d steps [Build-Context] Latent frames: [%d, %d) / %d [Build-Context] FATAL: use_source_context but no cover_latents and no audio_codes [Build-Context] FATAL: store_require_fsq_detok failed [Build-Context Batch%d] FATAL: detokenizer decode failed [Build-Context Batch%d] Detokenizer: %.1f ms, %d codes [CondEncoder] FATAL: failed to allocate graph [CondEnc] Lyric sliding mask: %dx%d, window=%d [CondEnc] Timbre sliding mask: %dx%d, window=%d%s [Encode] Packed: lyric=%d + timbre=%d + text=%d = %d tokens [VAE] FATAL: OOM allocating graph context (%zu bytes) for T=%d [VAE] FATAL: graph alloc failed for T=%d [VAE] Graph: %d nodes, T_latent=%d [VAE-Decode] FATAL: store_require_vae_dec failed [Latent-Splice] kept generated frames [%d, %d) / %d, source elsewhere [VAE] Decoded: T_latent=%d -> T_audio=%d (%.2fs @ 48kHz) [VAE] Tiled decode: %d tiles (chunk=%d, overlap=%d, stride=%d) [VAE] Upsample factor: %.2f (expected ~1920) [VAE] FATAL: tiled output exceeds max_T_audio [VAE] Cancelled at tile %d/%d [VAE] FATAL: tile %d decode failed [VAE] Tiled decode done: %d tiles -> T_audio=%d (%.2fs @ 48kHz) [VAE-Decode Batch%d] ERROR: decode failed [VAE-Decode Batch%d] Cancelled [VAE-Decode Batch%d] Decode: %.1f ms [VAE-Decode Batch%d] ERROR: OOM allocating output (%d samples) [WAV-Splice Batch%d] hard splice samples [%d, %d) / %d [VAE-Enc] FATAL: OOM allocating graph context (%zu bytes) for T=%d [VAE-Enc] FATAL: graph alloc failed for T=%d [VAE-Enc] Graph: %d nodes, T_audio=%d [VAE-Enc] T_latent %d exceeds max %d [VAE-Enc] Encode: T_audio=%d -> T_latent=%d (%.2fs @ 48kHz) [VAE-Enc] Tiled encode: %d tiles (chunk=%d, overlap=%d, stride=%d audio samples) [VAE-Enc] FATAL: tile %d encode failed [VAE-Enc] Downsample factor: %.6f (expected ~1/1920) [VAE-Enc] FATAL: tiled output exceeds max_T_latent [VAE-Enc] Tiled encode done: %d tiles -> T_latent=%d (%.2fs @ 48kHz) [Encode-Timbre] Latents in: %d frames (%.1fs), VAE encode skipped [Encode-Timbre] WARNING: store_require_vae_enc failed, using silence [Encode-Timbre] WARNING: ref_audio encode failed, using silence [Encode-Timbre] ref_audio: %d frames (%.1fs), %.1f ms [Encode-Src] Latents in: T_cover=%d (%.2fs), VAE encode skipped [Encode-Src] FATAL: store_require_vae_enc failed [Encode-Src] FATAL: encode failed [Encode-Src] Encoded: T_cover=%d (%.2fs), %.1f ms [DiT] WARNING: guidance_scale=%.1f but null_condition_emb not found. Disabling CFG. [DiT] Batch N=%d, T=%d, S=%d, enc_S=%d%s [DiT] FATAL: failed to allocate graph [DiT] CFG enabled: guidance_scale=%.1f, %s, N_graph=%d [DiT] WARNING: unknown solver '%s', falling back to euler [DiT] Solver: %s (%d NFE/step, order %d) [DiT] Cancelled at step %d/%d [DiT] Cover: switched to non-cover context at step %d/%d [DiT] DCW step %d/%d mode=%s (t_curr=%.3f) [DiT] Batch%d output: min=%.4f max=%.4f mean=%.6f nan=%d [DiT-Generate] FATAL: store_require_dit failed [DiT-Generate] Total: %.1f ms (%.1f ms/sample) [DiT-Generate] Latent post: shift=%.3f rescale=%.3f [Context-Silence] audio_cover_strength=%.2f -> switch at step %d/%d [Init-Noise Batch%d] Philox noise seed=%lld, [%d, %d] solver=%s [Init-Noise] cover_noise_strength=%.2f -> noise_level=%.4f, nearest_t=%.4f, remaining_steps=%d [Init-Noise] Starting: T=%d, S=%d, enc_S=%d, steps=%d, batch=%d%s basic_string: construction from null is not valid%s: __pos (which is %zu) > this->size() (which is %zu)[BPE] WARNING: unknown token '%s' [Encode-Text] FATAL: instruction_str is empty (unknown task or orchestrator bug) [Encode-Text] FATAL: store_bpe failed [Encode-Text] FATAL: store_require_text_enc failed [Encode-Text] FATAL: store_require_cond_enc failed [Encode-Text Batch%d] %d+%d tokens -> enc_S=%d, %.1f ms [Encode-Text Batch%d] non-cover: %d+%d tokens -> enc_S=%d [Encode-Text] Per-batch encoding done: max_enc_S=%d [Resolve-Params] WARNING: inference_steps %d clamped to 100 [Resolve-Params] WARNING: guidance_scale=%.1f on turbo model. Distilled turbo internalizes guidance; stacking CFG on top usually oversaturates. Use it only if you know what you do (typically a merge). 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H9uHHHcȋHH9mD9ZDMHHH`LhLpH`H`LhHHpHyL@HLH)H fH*ZH(fH)f(H*^^^H(fHHH)H=H*^HHHH`HLhH`HHHp "H HHhHDž HDžHHHHH8HH(HXHHHHxƅHDžƅHDž0ƅ8HDžPƅXHHhHDžpƅxS\$ f/H0_HP+HpHHt7HQLHHLBH=H1HHtH=H1H}HhH}HEHHx H]$H( C@H{HCDHEHHHxhHEHhHH0H}HDžIKY8m4ƅHHH1HHHHHHHHL9A:basic_string::substrtok_intok_postok_outpositionscausal_masktoken_idskv_rowslogitscaption: duration: keyscale: # Lyric yesnoenc_inputenc_outputmd vector::_M_range_insert, ...%s%s/%s.bintok_latentswb[Debug] Cannot write %s [Debug] %s: [] first4:%s%d %.6f%s/tok_codes.bin [Understand-Result] bpm: %d H=H|$HHLHHH=H=LH5H=1H=H=HLHHLHHHHH=LLHMt LLHH} Hu0H)HtHPHI|$ It$0H)Hu*HPLHHHHLHHHHI} Iu0H)HuVHPLH{ Hs0H)HtHPHHeH<$HHLH51H=H$HH|$HH|$8H|$0H|$(H|$@H$HLHLH51H=L$LH5H=1HH$H$H$rLH51H=L$HH$H<$ H<$HH$H$`%H=LH5H=1HLH51H=H$H$H$H$H$H$kLH51H=L$H$H$'H=H=LHHHH$H$H$H$H8HpH)HtHH=LHH=HH5H=1HH=H=H=H=H=HD$pLH$HD$XH$H$H$ H$L$PH$H=LHHD$XH$L$PH$x~H|$pHL$PHdH=H=H=H=H$PLH$H$XHD$@H$`HD$hH$LH$PHD$@H$XHD$hH$`H$H$H=H$HH=LH=H=HH5H=1H=H|$pUH$H|$p>HL$PH=H=H=H=H=H=HMt LLHH=IHL`HHLLH`tHH`HL)MtLHL)MtLHHtHLH=1HE1HMt LLHM1E1Hc1LE1H^HDžHtHHL`HHH)HtHIH@HPH)HHHHHhHHHH)HnHaH=HHHLHH3H=HHMtHLMHxLH`HHpHH=HL)HsHH=HIHHhH@HPH)HtL`HHHHHHH=IH@Ht,HHH0L HHH(H Mt-HH9t H4L LLL(H1H=H=IL`3E1/   !9 >T 0C> +-4a      ?0   }5(*V[fr}~ s=_==< < = = = = =<4< ="<$e=&<'e=+<0<6#x##4 )! qrqqrqrr$^q*!q+r+q,Zq-q0Wr1q;q<qEqIqMrNrPqQqQrSqWqYqZrZr[r\p\q]r]qaqbqdqdqgqkqoqpqGQ] lll#l5l  "R  |||||| | |=|}}}w}=}}}} } } }!}"}"}"}#}#}$}$I~&|';|(~*~+|+,|1}3~3~4&~6|9|<|<~=|=}>}>|?~?~@~A|A|C ~N}O|Q~R~R~R~TU|U~X|\|\|`|h|j|o|p|q~qH~s|t|t|v~v|w~w1|xo|y!}A9w%s: __pos (which is %zu) > this->size() (which is %zu)[FSQ-Tok] OOM allocating graph context (%zu bytes) [Tok] FATAL: graph alloc failed [Tok] Tokenized: %d frames -> %d codes (%.1fs @ 5Hz) [LM-Forward] FATAL: kv_len %d > max_seq %d [LM] FATAL: failed to allocate graph (prefill, %d tokens) cannot create std::vector larger than max_size()[Understand-Load] ERROR: store and params are required [Understand-Load] ERROR: model_path required (or dump_dir for tok-only) [Understand-Load] ERROR: vae_path and dit_path are required [Understand-Load] Ready: lm=%s, fa=%s, fsm=%s [VAE-Enc] FATAL: OOM allocating graph context (%zu bytes) for T=%d [VAE-Enc] FATAL: graph alloc failed for T=%d [VAE-Enc] Graph: %d nodes, T_audio=%d basic_string: construction from null is not valid[BPE] WARNING: unknown token '%s' [Understand] ERROR: src_audio or src_latents is required [Understand-VAE] Latents in: %d frames (%.2fs), VAE encode skipped [Understand-VAE] FATAL: store_require_vae_enc failed [VAE-Enc] T_latent %d exceeds max %d [VAE-Enc] Encode: T_audio=%d -> T_latent=%d (%.2fs @ 48kHz) [VAE-Enc] Tiled encode: %d tiles (chunk=%d, overlap=%d, stride=%d audio samples) [VAE-Enc] FATAL: tile %d encode failed [VAE-Enc] Downsample factor: %.6f (expected ~1/1920) [VAE-Enc] FATAL: tiled output exceeds max_T_latent [VAE-Enc] Tiled encode done: %d tiles -> T_latent=%d (%.2fs @ 48kHz) [Understand-VAE] FATAL: encode failed [Understand-VAE] Encoded: %d latent frames (%.2fs), %.0fms [Understand-Tok] FATAL: silence_latent unavailable [Understand-Tok] FATAL: store_require_fsq_tok failed [Understand-Tok] FATAL: tokenize failed [Understand-Tok] %d codes (%.2fs @ 5Hz), %.0fms [Understand-Debug] tok_codes: [%d] int32 [Understand] Dump-only mode, %zu codes [Understand] FATAL: store_require_lm failed [Understand] FATAL: store_bpe failed [Understand] FATAL: store_fsm failed Understand the given musical conditions and describe the audio semantics accordingly:[Understand-Prompt] %zu tokens (%zu codes + framing) [Understand-Prefill] %.0fms, %zu tokens, seed=%u [Understand] Cancelled at step %d [Understand-Decode] %zu tokens, %.0fms (%.1f tok/s) [Understand-Result] duration: %.0fs [Understand-Result] keyscale: %s [Understand-Result] timesig: %s [Understand-Result] language: %s [Understand-Result] caption: %.80s%s [Understand-Result] lyrics: %zu chars [Understand-Result] audio_codes: %zu codes [Understand] Total %.0fms | seed=%u SHHHH9tHHpH{hHCxH9t 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