add lcm-flowmatch sampler and fix hunyuanvideo-i2v

Signed-off-by: Vladimir Mandic <mandic00@live.com>

CHANGELOG.md

@@ -1,31 +1,34 @@
 # Change Log for SD.Next
 
-## Update for 2025-04-15
+## Update for 2025-04-16
 
-- [Nunchaku](https://github.com/mit-han-lab/nunchaku) inference engine with custom **SVDQuant** 4-bit execution  
-  highly experimental and with limited support, but when it works, its magic: **Flux.1 at 5.90 it/s** *(not sec/it)*!  
-  see [Nunchaku Wiki](https://github.com/vladmandic/sdnext/wiki/Nunchaku) for details  
-- **HiDream** optimized offloading and prompt-encode caching  
-  it now works in 12GB VRAM / 26GB RAM!  
-- fix: NNCF for TE-only quant  
-
-## Update for 2025-04-14
-
-- [CFG-Zero](https://github.com/WeichenFan/CFG-Zero-star) new guidance method optimized for flow-matching models  
-  implemented for **FLUX.1, HiDream-I1, SD3.x, CogView4, HunyuanVideo, WanAI**  
-  enable and configure in *settings -> pipeline modifiers -> cfg zero*  
-  experiment with CFGZero support in XYZ-grid  
-- add **UniPC FlowMatch** scheduler  
-- **HiDream** add HF gated access auth check  
-- clenup **CogView3** and **CogView4** model loader  
-- add explicit offload after encode prompt  
-  configure in *settings -> text encoder -> offload*  
-- networks: set which networks to skip when scanning civitai  
-  in *settings -> networks -> network scan*  
-  comma-separate list of regex patterns to skip  
-- ui display reference models with subdued color  
-- xyz grid support bool  
-- fix debug logging  
+- **Features**
+  - [Nunchaku](https://github.com/mit-han-lab/nunchaku) inference engine with custom **SVDQuant** 4-bit execution  
+    highly experimental and with limited support, but when it works, its magic: **Flux.1 at 5.90 it/s** *(not sec/it)*!  
+    see [Nunchaku Wiki](https://github.com/vladmandic/sdnext/wiki/Nunchaku) for details  
+  - [CFG-Zero](https://github.com/WeichenFan/CFG-Zero-star) new guidance method optimized for flow-matching models  
+    implemented for **FLUX.1, HiDream-I1, SD3.x, CogView4, HunyuanVideo, WanAI**  
+    enable and configure in *settings -> pipeline modifiers -> cfg zero*  
+    experiment with CFGZero support in XYZ-grid  
+- **Optimizations**
+  - **HiDream** optimized offloading and prompt-encode caching  
+    it now works in 12GB VRAM / 26GB RAM!  
+  - **CogView3** and **CogView4** model loader optimizations  
+  - add explicit offload after encode prompt  
+    configure in *settings -> text encoder -> offload*  
+- **Other**
+  - **HiDream** add HF gated access auth check  
+  - add **UniPC FlowMatch** scheduler  
+  - add **LCM FlowMatch** scheduler  
+  - networks: set which networks to skip when scanning civitai  
+    in *settings -> networks -> network scan*  
+    comma-separate list of regex patterns to skip  
+  - ui display reference models with subdued color  
+  - xyz grid support bool  
+- **Fixes**
+  - NNCF for TE-only quant  
+  - HunyuanVideo-I2V with latest transformers
+  - debug logging  
 
 ## Update for 2025-04-12
 

installer.py

@@ -538,7 +538,7 @@ def check_diffusers():
     t_start = time.time()
     if args.skip_all or args.skip_git or args.experimental:
         return
-    sha = 'b6156aafe998eb57902efd3b8cce9a6fde35c1ea' # diffusers commit hash
+    sha = 'ce1063acfa0cbc2168a7e9dddd4282ab8013b810' # diffusers commit hash
     pkg = pkg_resources.working_set.by_key.get('diffusers', None)
     minor = int(pkg.version.split('.')[1] if pkg is not None else 0)
     cur = opts.get('diffusers_version', '') if minor > 0 else ''

modules/sd_samplers_diffusers.py

@@ -30,6 +30,7 @@ try:
         HeunDiscreteScheduler,
         FlowMatchHeunDiscreteScheduler,
         LCMScheduler,
+        FlowMatchLCMScheduler,
         PNDMScheduler,
         IPNDMScheduler,
         DDPMScheduler,
@@ -103,12 +104,12 @@ config = {
 
     'Heun': { 'use_beta_sigmas': False, 'use_karras_sigmas': False, 'use_exponential_sigmas': False, 'timestep_spacing': 'linspace' },
     'Heun FlowMatch': { 'timestep_spacing': "linspace", 'shift': 1 },
+    'LCM FlowMatch': { 'beta_start': 0.00085, 'beta_end': 0.012, 'beta_schedule': "scaled_linear", 'set_alpha_to_one': True, 'rescale_betas_zero_snr': False, 'thresholding': False, 'timestep_spacing': 'linspace' },
 
     'DEIS': { 'solver_order': 2, 'thresholding': False, 'sample_max_value': 1.0, 'algorithm_type': "deis", 'solver_type': "logrho", 'lower_order_final': True, 'timestep_spacing': 'linspace', 'use_karras_sigmas': False, 'use_exponential_sigmas': False, 'use_flow_sigmas': False, 'use_beta_sigmas': False },
     'SA Solver': {'predictor_order': 2, 'corrector_order': 2, 'thresholding': False, 'lower_order_final': True, 'use_karras_sigmas': False, 'use_flow_sigmas': False, 'use_exponential_sigmas': False, 'use_beta_sigmas': False, 'timestep_spacing': 'linspace'},
     'DC Solver': { 'beta_start': 0.0001, 'beta_end': 0.02, 'solver_order': 2, 'prediction_type': "epsilon", 'thresholding': False, 'solver_type': 'bh2', 'lower_order_final': True, 'dc_order': 2, 'disable_corrector': [0] },
     'VDM Solver': { 'clip_sample_range': 2.0, },
-    'LCM': { 'beta_start': 0.00085, 'beta_end': 0.012, 'beta_schedule': "scaled_linear", 'set_alpha_to_one': True, 'rescale_betas_zero_snr': False, 'thresholding': False, 'timestep_spacing': 'linspace' },
     'TCD': { 'set_alpha_to_one': True, 'rescale_betas_zero_snr': False, 'beta_schedule': 'scaled_linear' },
     'TDD': { },
     'PeRFlow': { 'prediction_type': 'ddim_eps' },
@@ -179,6 +180,7 @@ samplers_data_diffusers = [
     SamplerData('CMSI', lambda model: DiffusionSampler('CMSI', CMStochasticIterativeScheduler, model), [], {}),
 
     SamplerData('LCM', lambda model: DiffusionSampler('LCM', LCMScheduler, model), [], {}),
+    SamplerData('LCM FlowMatch', lambda model: DiffusionSampler('LCM FlowMatch', FlowMatchLCMScheduler, model), [], {}),
     SamplerData('TCD', lambda model: DiffusionSampler('TCD', TCDScheduler, model), [], {}),
     SamplerData('TDD', lambda model: DiffusionSampler('TDD', TDDScheduler, model), [], {}),
     SamplerData('PeRFlow', lambda model: DiffusionSampler('PeRFlow', PeRFlowScheduler, model), [], {}),