135 Commits

Author	SHA1	Message	Date
Jukka Seppänen	184009c2f6	feat: Add model support for SCAIL-2 (#14373) ... * initial SCAIL2 support	2026-06-09 18:24:09 +03:00
comfyanonymous	00b633f368	Revert "Add SeedVR2 support (CORE-6) (#14110)" (#14359) ... This reverts commit 7863cf0e53.	2026-06-08 18:00:20 -04:00
John Pollock	7863cf0e53	Add SeedVR2 support (CORE-6) (#14110)	2026-06-08 18:15:05 +08:00
Jukka Seppänen	24f9a020ce	Support Ideogram4 (#14259)	2026-06-03 08:41:44 -07:00
person4268	c96fcddb81	Radiance: support variant with nonzero txt_ids (#14206)	2026-06-01 22:07:48 -07:00
Jukka Seppänen	462c27fdb2	feat: Add TripoSplat support (#14210)	2026-06-01 07:01:50 -07:00
Jukka Seppänen	28f4ef277c	feat: Support NVIDIA PixelDiT and PiD (CORE-201) (#14103)	2026-05-26 17:50:14 -07:00
Jukka Seppänen	41812fa0ac	feat: Microsoft Lens support (CORE-248) (#14077)	2026-05-25 23:01:51 -07:00
comfyanonymous	f9c84c94b4	Support Stable Audio 3 model. (#14010)	2026-05-20 11:34:22 -04:00
Jukka Seppänen	8e53f001a4	feat: Support HiDream-O1-Image (CORE-187) (#13817) ... * Initial HiDream01-image support * Cleanup nodes * Cleaner handling of empty placeholder models * Remove snap_to_predefined, prefer tooltip for the trained resolutions * Add model and block wrappers * Fix shift tooltip * Add node to work around the patch tile issue Experimental, runs multiple passes with the patch grid offset and blends with various different methods. * Qwen35 vision rotary_pos_emb cast fix * Fix embedding layout type * Some small optimizations * Cleanup, don't need this fallback * Prefix KV cache, cleanup Bit of speed, reduce redundant code * Get rid of redundant custom sampler, refactor noise scaling Our existing lcm sampler is mathematically same, just added the missing options to it instead and a node to control them. Refactored the noise scaling and fix it for the stochastic samplers, add a generic node to control the initial noise scale. * Update nodes_hidream_o1.py * Fix some cache validation cases * Keep existing sampling params * Remove redundant video vision path * Replace some numpy ops with torch * Fx RoPE index for batch size > 1 * Prefer torch preprocessing * Rename block_type to be compatible with existing patch nodes * Fixes and tweaks	2026-05-11 20:35:53 -07:00
Jukka Seppänen	3200f28e3a	Support Wan-Dancer (#13813) ... * initial WanDancer support * nodes_wandancer: Add list form of chunker. Create an alternate list form of the node so the chunk gens can be trivially looped by the comfy executor. * Closer match to original soxr resampling * Remove librosa node * Cleanup --------- Co-authored-by: Rattus <rattus128@gmail.com>	2026-05-09 14:02:56 -07:00
Talmaj	5eeae3f1d8	Cogvideox (#13402) ... --------- Co-authored-by: kijai <40791699+kijai@users.noreply.github.com> Co-authored-by: Talmaj Marinc <talmaj@comfy.org>	2026-04-29 19:30:08 -04:00
Jukka Seppänen	749d5b4e8d	feat: SAM (segment anything) 3.1 support (CORE-34) (#13408)	2026-04-23 00:07:43 -04:00
comfyanonymous	31283d2892	Implement Ernie Image model. (#13369)	2026-04-11 22:29:31 -04:00
comfyanonymous	40862c0776	Support Ace Step 1.5 XL model. (#13317)	2026-04-07 03:13:47 -04:00
Jukka Seppänen	a500f1edac	CORE-13 feat: Support RT-DETRv4 detection model (#12748)	2026-03-28 23:34:10 -04:00
rattus	a912809c25	model_detection: deep clone pre edited edited weights (#12862) ... Deep clone these weights as needed to avoid segfaulting when it tries to touch the original mmap.	2026-03-09 23:50:10 -04:00
Lodestone	9ebee0a217	Feat: z-image pixel space (model still training atm) (#12709) ... * draft zeta (z-image pixel space) * revert gitignore * model loaded and able to run however vector direction still wrong tho * flip the vector direction to original again this time * Move wrongly positioned Z image pixel space class * inherit Radiance LatentFormat class * Fix parameters in classes for Zeta x0 dino * remove arbitrary nn.init instances * Remove unused import of lru_cache --------- Co-authored-by: silveroxides <ishimarukaito@gmail.com>	2026-03-02 19:43:47 -05:00
comfyanonymous	57dd6c1aad	Support loading zeta chroma weights properly. (#12734)	2026-03-02 18:54:18 -05:00
Jukka Seppänen	1f6744162f	feat: Support SCAIL WanVideo model (#12614)	2026-02-28 16:49:12 -05:00
Talmaj	ac4412d0fa	Native LongCat-Image implementation (#12597)	2026-02-27 23:04:34 -05:00
Jukka Seppänen	c7f7d52b68	feat: Support SDPose-OOD (#12661)	2026-02-26 19:59:05 -05:00
Jukka Seppänen	907e5dcbbf	initial FlowRVS support (#12637)	2026-02-25 23:38:46 -05:00
comfyanonymous	e1add563f9	Use torch RMSNorm for flux models and refactor hunyuan video code. (#12432)	2026-02-13 15:35:13 -05:00
comfyanonymous	3c1a1a2df8	Basic support for the ace step 1.5 model. (#12237)	2026-02-03 00:06:18 -05:00
comfyanonymous	635406e283	Only enable fp16 on z image models that actually support it. (#12065)	2026-01-24 22:32:28 -05:00
comfyanonymous	abe2ec26a6	Support the Anima model. (#12012)	2026-01-21 19:44:28 -05:00
Mylo	c4a14df9a3	Dynamically detect chroma radiance patch size (#11991)	2026-01-20 18:46:11 -05:00
comfyanonymous	2108167f9f	Support zimage omni base model. (#11979)	2026-01-19 23:17:38 -05:00
comfyanonymous	cd912963f1	Fix issue with t5 text encoder in fp4. (#11794)	2026-01-10 17:31:31 -05:00
comfyanonymous	f2b002372b	Support the LTXV 2 model. (#11632)	2026-01-05 01:58:59 -05:00
woctordho	4c432c11ed	Implement Jina CLIP v2 and NewBie dual CLIP (#11415) ... * Implement Jina CLIP v2 * Support quantized Gemma in NewBie dual CLIP	2025-12-20 00:57:22 -05:00
comfyanonymous	28eaab608b	Diffusion model part of Qwen Image Layered. (#11408) ... Only thing missing after this is some nodes to make using it easier.	2025-12-18 20:21:14 -05:00
comfyanonymous	ffdd53b327	Check state dict key to auto enable the index_timestep_zero ref method. (#11362)	2025-12-16 17:03:17 -05:00
comfyanonymous	ae65433a60	This only works on radiance. (#11277)	2025-12-11 17:15:00 -05:00
comfyanonymous	fdebe18296	Fix regular chroma radiance (#11276)	2025-12-11 17:09:35 -05:00
Jukka Seppänen	e2a800e7ef	Fix for HunyuanVideo1.5 meanflow distil (#11212)	2025-12-09 16:59:16 -05:00
Lodestone	b9fb542703	add chroma-radiance-x0 mode (#11197)	2025-12-08 23:33:29 -05:00
comfyanonymous	56fa7dbe38	Properly load the newbie diffusion model. (#11172) ... There is still one of the text encoders missing and I didn't actually test it.	2025-12-07 07:44:55 -05:00
Jukka Seppänen	fd109325db	Kandinsky5 model support (#10988) ... * Add Kandinsky5 model support lite and pro T2V tested to work * Update kandinsky5.py * Fix fp8 * Fix fp8_scaled text encoder * Add transformer_options for attention * Code cleanup, optimizations, use fp32 for all layers originally at fp32 * ImageToVideo -node * Fix I2V, add necessary latent post process nodes * Support text to image model * Support block replace patches (SLG mostly) * Support official LoRAs * Don't scale RoPE for lite model as that just doesn't work... * Update supported_models.py * Rever RoPE scaling to simpler one * Fix typo * Handle latent dim difference for image model in the VAE instead * Add node to use different prompts for clip_l and qwen25_7b * Reduce peak VRAM usage a bit * Further reduce peak VRAM consumption by chunking ffn * Update chunking * Update memory_usage_factor * Code cleanup, don't force the fp32 layers as it has minimal effect * Allow for stronger changes with first frames normalization Default values are too weak for any meaningful changes, these should probably be exposed as advanced node options when that's available. * Add image model's own chat template, remove unused image2video template * Remove hard error in ReplaceVideoLatentFrames -node * Update kandinsky5.py * Update supported_models.py * Fix typos in prompt template They were now fixed in the original repository as well * Update ReplaceVideoLatentFrames Add tooltips Make source optional Better handle negative index * Rename NormalizeVideoLatentFrames -node For bit better clarity what it does * Fix NormalizeVideoLatentStart node out on non-op	2025-12-05 22:20:22 -05:00
comfyanonymous	43071e3de3	Make old scaled fp8 format use the new mixed quant ops system. (#11000)	2025-12-05 14:35:42 -05:00
comfyanonymous	878db3a727	Implement the Ovis image model. (#11030)	2025-12-01 20:56:17 -05:00
comfyanonymous	e9aae31fa2	Z Image model. (#10892)	2025-11-25 18:41:45 -05:00
comfyanonymous	6b573ae0cb	Flux 2 (#10879)	2025-11-25 10:50:19 -05:00
comfyanonymous	943b3b615d	HunyuanVideo 1.5 (#10819) ... * init * update * Update model.py * Update model.py * remove print * Fix text encoding * Prevent empty negative prompt Really doesn't work otherwise * fp16 works * I2V * Update model_base.py * Update nodes_hunyuan.py * Better latent rgb factors * Use the correct sigclip output... * Support HunyuanVideo1.5 SR model * whitespaces... * Proper latent channel count * SR model fixes This also still needs timesteps scheduling based on the noise scale, can be used with two samplers too already * vae_refiner: roll the convolution through temporal Work in progress. Roll the convolution through time using 2-latent-frame chunks and a FIFO queue for the convolution seams. * Support HunyuanVideo15 latent resampler * fix * Some cleanup Co-Authored-By: comfyanonymous <121283862+comfyanonymous@users.noreply.github.com> * Proper hyvid15 I2V channels Co-Authored-By: comfyanonymous <121283862+comfyanonymous@users.noreply.github.com> * Fix TokenRefiner for fp16 Otherwise x.sum has infs, just in case only casting if input is fp16, I don't know if necessary. * Bugfix for the HunyuanVideo15 SR model * vae_refiner: roll the convolution through temporal II Roll the convolution through time using 2-latent-frame chunks and a FIFO queue for the convolution seams. Added support for encoder, lowered to 1 latent frame to save more VRAM, made work for Hunyuan Image 3.0 (as code shared). Fixed names, cleaned up code. * Allow any number of input frames in VAE. * Better VAE encode mem estimation. * Lowvram fix. * Fix hunyuan image 2.1 refiner. * Fix mistake. * Name changes. * Rename. * Whitespace. * Fix. * Fix. --------- Co-authored-by: kijai <40791699+kijai@users.noreply.github.com> Co-authored-by: Rattus <rattus128@gmail.com>	2025-11-20 22:44:43 -05:00
contentis	8817f8fc14	Mixed Precision Quantization System (#10498) ... * Implement mixed precision operations with a registry design and metadate for quant spec in checkpoint. * Updated design using Tensor Subclasses * Fix FP8 MM * An actually functional POC * Remove CK reference and ensure correct compute dtype * Update unit tests * ruff lint * Implement mixed precision operations with a registry design and metadate for quant spec in checkpoint. * Updated design using Tensor Subclasses * Fix FP8 MM * An actually functional POC * Remove CK reference and ensure correct compute dtype * Update unit tests * ruff lint * Fix missing keys * Rename quant dtype parameter * Rename quant dtype parameter * Fix unittests for CPU build	2025-10-28 16:20:53 -04:00
comfyanonymous	dad076aee6	Speed up chroma radiance. (#10395)	2025-10-18 23:19:52 -04:00
comfyanonymous	8aea746212	Implement gemma 3 as a text encoder. (#10241) ... Not useful yet.	2025-10-06 22:08:08 -04:00
comfyanonymous	dc95b6acc0	Basic WIP support for the wan animate model. (#9939)	2025-09-19 03:07:17 -04:00
comfyanonymous	9288c78fc5	Support the HuMo model. (#9903)	2025-09-17 00:12:48 -04:00