huangfeice
a00b731054
Merge remote-tracking branch 'origin/master' into joyimage-edit-pr
2026-07-01 18:38:25 +08:00
comfyanonymous
b910f4fa2a
More accurate memory usage factor for krea 2. ( #14594 )
2026-06-23 16:50:48 +08:00
Jukka Seppänen
2a61015582
feat: Support Krea2 ( #14589 )
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2026-06-22 14:35:00 -07:00
comfyanonymous
52257bb435
Add negative prompt to boogu edit node and set min images to 0. ( #14529 )
2026-06-17 15:42:29 -07:00
Jukka Seppänen
e25c391888
feat: Support Boogu-Image (CORE-308) ( #14523 )
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2026-06-17 14:22:36 -07:00
huangfeice
5260e18cdf
Add JoyImageEdit native model support
...
JoyImageEdit is an image-edit diffusion transformer from JD (jd-opensource),
Apache 2.0. This adds native ComfyUI support so it loads and runs like other
edit models (load checkpoint -> TextEncode + ReferenceLatent -> KSampler ->
VAEDecode), with no diffusers dependency.
Architecture:
- Transformer (comfy/ldm/joyimage/model.py): dual-stream (img/txt) DiT with a
Conv3d patch embed (patch_size [1,2,2]), Wan-style learnable modulation,
and 3D RoPE (rope_dim_list [16,56,56]). All attention goes through
comfy.ldm.modules.attention.optimized_attention.
- Text encoder (comfy/text_encoders/{qwen3_vl,joyimage}.py): a reusable
Qwen3-VL multimodal stack (vision tower + LM) in qwen3_vl.py, plus a thin
JoyImage-specific layer (prompt templates, drop_idx, tokenizer, te() factory)
in joyimage.py that depends on it. text_dim 4096.
- VAE: reuses the existing Wan 2.1 latent format (AutoencoderKLWan), no new
latent format.
- Edit conditioning: reuses the reference_latents mechanism. Reference and
noise latents are stacked on a new n-slot dimension and rotated at the model
boundary (model_base.JoyImage), so the transformer stays 5D-in/5D-out.
Guidance-rescale is built into the CFG path.
Model wiring:
- model_base.JoyImage uses ModelType.FLOW with sampling_settings
multiplier=1000 (the time embedding is trained on t in [0,1000]) and
shift=1.5; FLOW's linear time_snr_shift matches the diffusers
FlowMatchEuler sigma schedule.
- model_detection sniffs the transformer state-dict (double_blocks.*,
condition_embedder.*, 5D img_in Conv3d) to route image_model="joyimage".
- supported_models.JoyImage and the CLIPLoader "joyimage" type register it.
User-facing node TextEncodeJoyImageEdit (comfy_extras/nodes_joyimage.py)
bucket-resizes the input image to the nearest 1024-base bucket, encodes the
prompt with the image, and emits both the conditioning and the bucketed image
so the same pixels feed VAEEncode and the negative encode (JoyImage requires
noise and reference latents to share spatial dims).
2026-06-17 18:53:36 +08:00
Talmaj
5ece24e73c
Depth anything 3 (Core-135) ( #13853 )
...
Co-authored-by: Alexis Rolland <alexisrolland@hotmail.com>
2026-06-10 09:28:24 +08:00
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 )
...
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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
comfyanonymous
8e3045a90b
Memory usage factor for ideogram 4 on non dynamic vram. ( #14264 )
2026-06-03 12:19:18 -04:00
Jukka Seppänen
24f9a020ce
Support Ideogram4 ( #14259 )
2026-06-03 08:41:44 -07:00
Jukka Seppänen
462c27fdb2
feat: Add TripoSplat support ( #14210 )
2026-06-01 07:01:50 -07:00
comfyanonymous
e75a92c1b6
Add memory usage factor for lens model. ( #14124 )
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2026-05-26 18:06:51 -07:00
comfyanonymous
d8d860a588
Closer memory usage factors for PID ( #14123 )
2026-05-26 18:04:55 -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
comfyanonymous
2bd65f2091
Better Hidream O1 mem usage factor for non dynamic vram. ( #13864 )
2026-05-12 20:55:38 -07:00
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
78b3096bf3
Void model - pass 1 & 2 (CORE-38) ( #13403 )
2026-05-05 19:59:04 -07:00
Talmaj
fed8d5efa6
feat: Auto-regressive video generation (CORE-25) ( #13082 )
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2026-05-04 21:01:22 -07:00
Talmaj
cf9cbec596
Reformat models variable into multiline array CORE-59 ( #13513 )
...
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Co-authored-by: Talmaj Marinc <talmaj@comfy.org>
2026-05-01 17:20:11 +08:00
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 )
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2026-04-11 22:29:31 -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
comfyanonymous
f719a9d928
Adjust memory usage factor of zeta model. ( #12746 )
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2026-03-03 17:35:22 -05:00
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
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 )
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2026-02-25 23:38:46 -05:00
comfyanonymous
e1add563f9
Use torch RMSNorm for flux models and refactor hunyuan video code. ( #12432 )
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2026-02-13 15:35:13 -05:00
comfyanonymous
039955c527
Some fixes to previous pr. ( #12339 )
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2026-02-06 20:14:52 -05:00
tdrussell
6a26328842
Support fp16 for Cosmos-Predict2 and Anima ( #12249 )
2026-02-06 20:12:15 -05:00
comfyanonymous
fe2511468d
Support the 4B ace step 1.5 lm model. ( #12257 )
...
Can be used as an alternative to the 1.7B
2026-02-03 19:01:38 -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
09a2e67151
Support loading flux 2 klein checkpoints saved with SaveCheckpoint. ( #12033 )
2026-01-22 18:20:48 -05:00
comfyanonymous
abe2ec26a6
Support the Anima model. ( #12012 )
2026-01-21 19:44:28 -05:00
comfyanonymous
4c816d5c69
Adjust memory usage factor calculation for flux2 klein. ( #11900 )
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2026-01-15 20:06:40 -05:00
comfyanonymous
6165c38cb5
Optimize nvfp4 lora applying. ( #11866 )
...
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This changes results a bit but it also speeds up things a lot.
2026-01-14 00:49:38 -05:00
comfyanonymous
1dcbd9efaf
Bump ltxav mem estimation a bit. ( #11842 )
2026-01-13 01:42:07 -05:00
comfyanonymous
3cd19e99c1
Increase ltxav mem estimation by a bit. ( #11715 )
2026-01-07 20:04:56 -05:00
comfyanonymous
f2b002372b
Support the LTXV 2 model. ( #11632 )
2026-01-05 01:58:59 -05:00
comfyanonymous
683569de55
Only enable fp16 on ZImage on newer pytorch. ( #11344 )
2025-12-15 22:33:27 -05:00
comfyanonymous
eeb020b9b7
Better chroma radiance and other models vram estimation. ( #11278 )
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2025-12-11 17:33:09 -05:00
comfyanonymous
f8321eb57b
Adjust memory usage factor. ( #11257 )
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2025-12-11 01:30:31 -05:00
