comfyanonymous
31283d2892
Implement Ernie Image model. ( #13369 )
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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 )
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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 )
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2026-01-21 19:44:28 -05:00
Mylo
c4a14df9a3
Dynamically detect chroma radiance patch size ( #11991 )
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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 )
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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 )
...
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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 )
...
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Not useful yet.
2025-10-06 22:08:08 -04:00
comfyanonymous
dc95b6acc0
Basic WIP support for the wan animate model. ( #9939 )
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2025-09-19 03:07:17 -04:00
comfyanonymous
9288c78fc5
Support the HuMo model. ( #9903 )
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2025-09-17 00:12:48 -04:00
blepping
c1297f4eb3
Add support for Chroma Radiance ( #9682 )
...
* Initial Chroma Radiance support
* Minor Chroma Radiance cleanups
* Update Radiance nodes to ensure latents/images are on the intermediate device
* Fix Chroma Radiance memory estimation.
* Increase Chroma Radiance memory usage factor
* Increase Chroma Radiance memory usage factor once again
* Ensure images are multiples of 16 for Chroma Radiance
Add batch dimension and fix channels when necessary in ChromaRadianceImageToLatent node
* Tile Chroma Radiance NeRF to reduce memory consumption, update memory usage factor
* Update Radiance to support conv nerf final head type.
* Allow setting NeRF embedder dtype for Radiance
Bump Radiance nerf tile size to 32
Support EasyCache/LazyCache on Radiance (maybe)
* Add ChromaRadianceStubVAE node
* Crop Radiance image inputs to multiples of 16 instead of erroring to be in line with existing VAE behavior
* Convert Chroma Radiance nodes to V3 schema.
* Add ChromaRadianceOptions node and backend support.
Cleanups/refactoring to reduce code duplication with Chroma.
* Fix overriding the NeRF embedder dtype for Chroma Radiance
* Minor Chroma Radiance cleanups
* Move Chroma Radiance to its own directory in ldm
Minor code cleanups and tooltip improvements
* Fix Chroma Radiance embedder dtype overriding
* Remove Radiance dynamic nerf_embedder dtype override feature
* Unbork Radiance NeRF embedder init
* Remove Chroma Radiance image conversion and stub VAE nodes
Add a chroma_radiance option to the VAELoader builtin node which uses comfy.sd.PixelspaceConversionVAE
Add a PixelspaceConversionVAE to comfy.sd for converting BHWC 0..1 <-> BCHW -1..1
2025-09-13 17:58:43 -04:00
comfyanonymous
e01e99d075
Support hunyuan image distilled model. ( #9807 )
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2025-09-10 23:17:34 -04:00
comfyanonymous
85e34643f8
Support hunyuan image 2.1 regular model. ( #9792 )
2025-09-10 02:05:07 -04:00
Yousef R. Gamaleldin
261421e218
Add Hunyuan 3D 2.1 Support ( #8714 )
2025-09-04 20:36:20 -04:00
comfyanonymous
88aee596a3
WIP Wan 2.2 S2V model. ( #9568 )
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2025-08-27 01:10:34 -04:00
comfyanonymous
f7bd5e58dd
Make it easier to implement future qwen controlnets. ( #9485 )
2025-08-21 23:18:04 -04:00
comfyanonymous
1702e6df16
Implement wan2.2 camera model. ( #9357 )
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Use the old WanCameraImageToVideo node.
2025-08-15 17:29:58 -04:00
comfyanonymous
560d38f34c
Wan2.2 fun control support. ( #9292 )
2025-08-12 23:26:33 -04:00
comfyanonymous
c012400240
Initial support for qwen image model. ( #9179 )
2025-08-04 22:53:25 -04:00
comfyanonymous
a88788dce6
Wan 2.2 support. ( #9080 )
2025-07-28 08:00:23 -04:00
comfyanonymous
ec70ed6aea
Omnigen2 model implementation. ( #8669 )
2025-06-25 19:35:57 -04:00
comfyanonymous
d6a2137fc3
Support Cosmos predict2 image to video models. ( #8535 )
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Use the CosmosPredict2ImageToVideoLatent node.
2025-06-14 21:37:07 -04:00
comfyanonymous
251f54a2ad
Basic initial support for cosmos predict2 text to image 2B and 14B models. ( #8517 )
2025-06-13 07:05:23 -04:00
