6b14fc8795
Merge branch 'master' into patch_hooks
2024-09-17 15:31:03 +09:00
c29006e669
Initial work on adding 'model_as_lora' lora type to calculate_weight
2024-09-17 15:30:33 +09:00
0849c80e2a
get_key_patches now works without unloading the model.
2024-09-17 01:57:59 -04:00
cfb145187d
Made Set Clip Hooks node work with hooks from Create Hook nodes, began work on better Create Hook Model As LoRA node
2024-09-17 09:55:14 +09:00
4b472ba44c
Added support for adding weight hooks that aren't registered on the ModelPatcher at sampling time
2024-09-17 06:22:41 +09:00
f5c899f42a
Fixed MaxSpeed and default conds implementations
2024-09-15 21:00:45 +09:00
e813abbb2c
Long CLIP L support for SDXL, SD3 and Flux.
...
Use the *CLIPLoader nodes.
2024-09-15 07:59:38 -04:00
5a9aa5817c
Added initial hook scheduling nodes, small renaming/refactoring
2024-09-15 18:39:31 +09:00
a5034df6db
Made CLIP work with hook patches
2024-09-15 15:47:09 +09:00
9ded65a616
Added initial set of hook-related nodes, added code to register hooks for loras/model-as-loras, small renaming/refactoring
2024-09-15 08:33:17 +09:00
f48e390032
Support AliMama SD3 and Flux inpaint controlnets.
...
Use the ControlNetInpaintingAliMamaApply node.
2024-09-14 09:05:16 -04:00
f5abdc6f86
Merge branch 'master' into patch_hooks
2024-09-14 17:29:30 +09:00
5dadd97583
Added default_conds support in calc_cond_batch func
2024-09-14 17:21:50 +09:00
f160d46340
Added call to initialize_timesteps on hooks in process_conds func, and added call prepare current keyframe on hooks in calc_cond_batch
2024-09-14 16:10:42 +09:00
1268d04295
Consolidated add_hook_patches_as_diffs into add_hook_patches func, fixed fp8 support for model-as-lora feature
2024-09-14 14:09:43 +09:00
cf80d28689
Support loading controlnets with different input.
2024-09-13 09:54:37 -04:00
9ae758175d
Added current_patcher property to BaseModel
2024-09-13 21:35:35 +09:00
3cbd40ada3
Initial changes to calc_cond_batch to eventually support hook_patches
2024-09-13 18:31:52 +09:00
069ec7a64b
Added hook_patches to ModelPatcher for weights (model)
2024-09-13 17:20:22 +09:00
b962db9952
Add cli arg to override user directory ( #4856 )
...
* Override user directory.
* Use overridden user directory.
* Remove prints.
* Remove references to global user_files.
* Remove unused replace_folder function.
* Remove newline.
* Remove global during get_user_directory.
* Add validation.
2024-09-12 08:10:27 -04:00
9d720187f1
types -> comfy_types to fix import issue.
2024-09-12 03:57:46 -04:00
9f4daca9d9
Doesn't really make sense for cfg_pp sampler to call regular one.
2024-09-11 02:51:36 -04:00
b5d0f2a908
Add CFG++ to DPM++ 2S Ancestral ( #3871 )
...
* Update sampling.py
* Update samplers.py
* my bad
* "fix" the sampler
* Update samplers.py
* i named it wrong
* minor sampling improvements
mainly using a dynamic rho value (hey this sounds a lot like smea!!!)
* revert rho change
rho? r? its just 1/2
2024-09-11 02:49:44 -04:00
9c5fca75f4
Fix lora issue.
2024-09-08 10:10:47 -04:00
32a60a7bac
Support onetrainer text encoder Flux lora.
2024-09-08 09:31:41 -04:00
bb52934ba4
Fix import issue ( #4815 )
2024-09-07 05:28:32 -04:00
ea77750759
Support a generic Comfy format for text encoder loras.
...
This is a format with keys like:
text_encoders.clip_l.transformer.text_model.encoder.layers.9.self_attn.v_proj.lora_up.weight
Instead of waiting for me to add support for specific lora formats you can
convert your text encoder loras to this format instead.
If you want to see an example save a text encoder lora with the SaveLora
node with the commit right after this one.
2024-09-07 02:20:39 -04:00
c27ebeb1c2
Fix onnx export not working on flux.
2024-09-06 03:21:52 -04:00
5cbaa9e07c
Mistoline flux controlnet support.
2024-09-05 00:05:17 -04:00
c7427375ee
Prioritize freeing partially offloaded models first.
2024-09-04 19:47:32 -04:00
f04229b84d
Add emb_patch support to UNetModel forward ( #4779 )
2024-09-04 14:35:15 -04:00
f067ad15d1
Make live preview size a configurable launch argument ( #4649 )
...
* Make live preview size a configurable launch argument
* Remove import from testing phase
* Update cli_args.py
2024-09-03 19:16:38 -04:00
483004dd1d
Support newer glora format.
2024-09-03 17:02:19 -04:00
00a5d08103
Lower fp8 lora memory usage.
2024-09-03 01:25:05 -04:00
d043997d30
Flux onetrainer lora.
2024-09-02 08:22:15 -04:00
8d31a6632f
Speed up inference on nvidia 10 series on Linux.
2024-09-01 17:29:31 -04:00
b643eae08b
Make minimum_inference_memory() depend on --reserve-vram
2024-09-01 01:18:34 -04:00
935ae153e1
Cleanup.
2024-08-30 12:53:59 -04:00
e91662e784
Get logs endpoint & system_stats additions ( #4690 )
...
* Add route for getting output logs
* Include ComfyUI version
* Move to own function
* Changed to memory logger
* Unify logger setup logic
* Fix get version git fallback
---------
Co-authored-by: pythongosssss <125205205+pythongosssss@users.noreply.github.com>
2024-08-30 12:46:37 -04:00
63fafaef45
Fix potential issue with hydit controlnets.
2024-08-30 04:58:41 -04:00
6eb5d64522
Fix glora lowvram issue.
2024-08-29 19:07:23 -04:00
10a79e9898
Implement model part of flux union controlnet.
2024-08-29 18:41:22 -04:00
ea3f39bd69
InstantX depth flux controlnet.
2024-08-29 02:14:19 -04:00
b33cd61070
InstantX canny controlnet.
2024-08-28 19:02:50 -04:00
d31e226650
Unify RMSNorm code.
2024-08-28 16:56:38 -04:00
38c22e631a
Fix case where model was not properly unloaded in merging workflows.
2024-08-27 19:03:51 -04:00
6bbdcd28ae
Support weight padding on diff weight patch ( #4576 )
2024-08-27 13:55:37 -04:00
ab130001a8
Do RMSNorm in native type.
2024-08-27 02:41:56 -04:00
2ca8f6e23d
Make the stochastic fp8 rounding reproducible.
2024-08-26 15:12:06 -04:00
7985ff88b9
Use less memory in float8 lora patching by doing calculations in fp16.
2024-08-26 14:45:58 -04:00
kosinkadink1@gmail.com
comfyanonymous
Robin Huang
yoinked
Jim Winkens
Silver
Chenlei Hu