update lens and bria

Signed-off-by: Vladimir Mandic <mandic00@live.com>
2026-08-25 22:20:46 +02:00 · 2026-06-29 09:19:29 +02:00
parent f0ef201882
commit d3e3948787
7 changed files with 44 additions and 32 deletions
@@ -1,20 +1,21 @@
 # Change Log for SD.Next

-## Update for 2026-06-26
+## Update for 2026-06-29

-### Highlights for 2026-06-26
+### Highlights for 2026-06-29

 Service-pack update with several fixes and quality-of-life improvements  
-Plus new **Krea 2** model and **SDNQ** improvements: now with NPU support and its own native attention kernels!  
+Plus new **Krea 2** model and **SDNQ** improvements: now with *NPU* support and its own native *attention* kernels!  

 [Home](https://vladmandic.github.io/sdnext/) | [ChangeLog](https://github.com/vladmandic/automatic/blob/master/CHANGELOG.md) | [Docs](https://vladmandic.github.io/sdnext-docs/) | [Discord](https://discord.com/invite/sd-next-federal-batch-inspectors-1101998836328697867) | [Sponsor](https://github.com/sponsors/vladmandic)  

-### Details for 2026-06-26
+### Details for 2026-06-29

 - **Models**
  - [Krea 2](https://www.krea.ai/blog/krea-2-image-model) in *base* and *turbo* (distilled) variants  
    both *base* and *turbo* are available in both full *bf16* and *sdnq* pre-quantized variants  
    K2 is a 12.9B single-stream flow-matching DiT and using a Qwen3-VL-4B text encoder  
+  - **Microsoft Lens** got unpublished, but we still got a mirror
 - **Features**
  - **SDNQ-Attention**  
    modelled after *sage-attention*, but modified to support AMD and Intel GPUs in addition to nVidia  
@@ -31,5 +31,9 @@
  "vladmandic--Anima-1.0-Base-sdnq-svd-dynamic-uint4": "vladmandic--Anima-1.0-Base.jpg",
  "vladmandic--Anima-1.0-Turbo-sdnq-svd-dynamic-uint4": "vladmandic--Anima-1.0-Turbo.jpg",
  "vladmandic--Krea-2-Turbo-sdnq-hadamard-uint4": "CalamitousFelicitousness--Krea-2-Turbo-Diffusers.jpg",
-  "vladmandic--Krea-2-Base-sdnq-hadamard-uint4": "CalamitousFelicitousness--Krea-2-Base-Diffusers.jpg"
+  "vladmandic--Krea-2-Base-sdnq-hadamard-uint4": "CalamitousFelicitousness--Krea-2-Base-Diffusers.jpg",
+  "Jinstudio--Lens": "microsoft--Lens.jpg",
+  "Jinstudio--Lens-Base": "microsoft--Lens-Base.jpg",
+  "Jinstudio--Lens-Turbo": "microsoft--Lens-Turbo.jpg",
+  "SahilCarterr--BRIA-3.2": "briaai--BRIA-3.2.jpg"
 }
@@ -35,14 +35,14 @@
    "date": "2023 July"
  },
  "Microsoft Lens": {
-    "path": "microsoft/Lens",
+    "path": "Jinstudio/Lens",
    "preview": "microsoft--Lens.jpg",
    "desc": "Microsoft Lens is a text-to-image DiT model using GPT-OSS chat-style prompt encoding and Flux2 VAE decoding.",
    "size": 30.53,
    "date": "2026 May"
  },
  "Microsoft Lens Base": {
-    "path": "microsoft/Lens-Base",
+    "path": "Jinstudio/Lens-Base",
    "preview": "microsoft--Lens-Base.jpg",
    "desc": "Microsoft Lens-Base is the base variant of Lens for text-to-image generation with GPT-OSS prompt features.",
    "size": 30.53,
@@ -730,13 +730,6 @@
    "size": 25.56,
    "date": "2024 October"
  },
-  "Bria 3.2": {
-    "path": "briaai/BRIA-3.2",
-    "desc": "Bria 3.2 is the next-generation commercial-ready text-to-image model. With just 4 billion parameters, it provides exceptional aesthetics and text rendering, evaluated to provide on par results to leading open-source models, and outperforming other licensed models.",
-    "preview": "briaai--BRIA-3.2.jpg",
-    "size": 18.66,
-    "date": "2025 June"
-  },
  "Meissonic": {
    "path": "MeissonFlow/Meissonic",
    "desc": "Meissonic is a non-autoregressive mask image modeling text-to-image synthesis model that can generate high-resolution images. It is designed to run on consumer graphics cards.",
@@ -833,6 +826,13 @@
    "size": 24.13,
    "date": "2025 December"
  },
+  "Bria 3.2": {
+    "path": "SahilCarterr/BRIA-3.2",
+    "desc": "Bria 3.2 is the next-generation commercial-ready text-to-image model. With just 4 billion parameters, it provides exceptional aesthetics and text rendering, evaluated to provide on par results to leading open-source models, and outperforming other licensed models.",
+    "preview": "briaai--BRIA-3.2.jpg",
+    "size": 18.66,
+    "date": "2025 June"
+  },
  "StepFun Step1X-Edit v1.1": {
    "path": "stepfun-ai/Step1X-Edit-v1p1-diffusers",
    "preview": "stepfun-ai--Step1X-Edit-v1p1-diffusers.jpg",
@@ -33,7 +33,7 @@
    "size": 38.78
  },
  "Microsoft Lens Turbo": {
-    "path": "microsoft/Lens-Turbo",
+    "path": "Jinstudio/Lens-Turbo",
    "preview": "microsoft--Lens-Turbo.jpg",
    "desc": "Microsoft Lens-Turbo is the distilled Lens variant optimized for faster text-to-image generation with fewer steps.",
    "size": 30.53,
@@ -307,8 +307,26 @@ def get_hf_api_hijack(user_agent = None): # pylint: disable=unused-argument
    return HfApi(library_name="kernels", user_agent="donottrack")


-def set_attention_dispatcher(pipe):
+def hijack_kernels():
    global orig_get_kernel # pylint: disable=global-statement
+    try:
+        install('kernels==0.14.1')
+        import kernels
+        import kernels.utils
+        log.debug(f'Attention dispatcher: kernels={kernels.__version__}')
+        if orig_get_kernel is None:
+            orig_get_kernel = kernels.get_kernel
+            kernels.get_kernel = get_kernel_hijack
+            kernels.utils._get_hf_api = get_hf_api_hijack # pylint: disable=protected-access
+        from diffusers.utils import import_utils
+        import_utils._kernels_available = True # pylint: disable=protected-access
+        import_utils._kernels_version = kernels.__version__ # pylint: disable=protected-access
+    except Exception as e:
+        log.error(f'Attention dispatcher kernels: {e}')
+        return
+
+
+def set_attention_dispatcher(pipe):
    from modules import shared
    attn = shared.opts.hf_attention.strip().lower()
    if pipe is None or not hasattr(pipe, 'transformer') or not hasattr(pipe.transformer, 'set_attention_backend'):
@@ -320,21 +338,7 @@ def set_attention_dispatcher(pipe):
    # https://huggingface.co/docs/diffusers/optimization/attention_backends#available-backends

    if 'hub' in attn:
-        try:
-            install('kernels==0.14.1')
-            import kernels
-            import kernels.utils
-            log.debug(f'Attention dispatcher: kernels={kernels.__version__}')
-            if orig_get_kernel is None:
-                orig_get_kernel = kernels.get_kernel
-                kernels.get_kernel = get_kernel_hijack
-                kernels.utils._get_hf_api = get_hf_api_hijack # pylint: disable=protected-access
-            from diffusers.utils import import_utils
-            import_utils._kernels_available = True # pylint: disable=protected-access
-            import_utils._kernels_version = kernels.__version__ # pylint: disable=protected-access
-        except Exception as e:
-            log.error(f'Attention dispatcher kernels: {e}')
-            return
+        hijack_kernels()

    prev = a._AttentionBackendRegistry.get_active_backend() # pylint: disable=protected-access
    if attn in backends:
@@ -211,7 +211,7 @@ try:
 except Exception as e:
    log.error(f'Loader: diffusers=={diffusers.__version__ if "diffusers" in sys.modules else None} {e}')
    log.error('Please restart re-run the installer')
-    # errors.display(e, 'diffusers')
+    errors.display(e, 'diffusers')
    sys.exit(1)

 try:
@@ -12,6 +12,9 @@ def load_lens(checkpoint_info, diffusers_load_config=None):
    sd_models.hf_auth_check(checkpoint_info)
    from pipelines import lens

+    from modules.attention import hijack_kernels
+    hijack_kernels()
+
    load_args, _quant_args = model_quant.get_dit_args(diffusers_load_config, allow_quant=False)
    log.debug(f'Load model: type=Lens repo="{repo_id}" config={diffusers_load_config} offload={shared.opts.diffusers_offload_mode} dtype={devices.dtype} reasoner={shared.opts.model_lens_enable_pe} args={load_args}')