diff --git a/data/reference-base.json b/data/reference-base.json
index 70c3d8b58..88a1fb999 100644
--- a/data/reference-base.json
+++ b/data/reference-base.json
@@ -189,7 +189,7 @@
     "path": "CalamitousFelicitousness/Krea-2-Base-Diffusers",
     "preview": "CalamitousFelicitousness--Krea-2-Base-Diffusers.jpg",
     "desc": "Krea 2 (K2) Base is the undistilled foundation model of the Krea 2 family, trained from scratch by Krea. A 12.9B-parameter single-stream flow-matching DiT that uses a Qwen3-VL-4B vision-language model as its text encoder and the Qwen-Image VAE. The base checkpoint is intended for fine-tuning and LoRA training; LoRAs trained on it apply to Krea 2 Turbo.",
-    "extras": "sampler: Default, cfg_scale: 4.5, steps: 52, width: 1024, height: 1024",
+    "extras": "sampler: Default, cfg_scale: 4.5, steps: 52",
     "size": 33.5,
     "date": "2026 June"
   },
diff --git a/data/reference-distilled.json b/data/reference-distilled.json
index f1391ec63..bbd37191e 100644
--- a/data/reference-distilled.json
+++ b/data/reference-distilled.json
@@ -26,7 +26,7 @@
     "path": "CalamitousFelicitousness/Krea-2-Turbo-Diffusers",
     "preview": "CalamitousFelicitousness--Krea-2-Turbo-Diffusers.jpg",
     "desc": "Krea 2 (K2) Turbo is the 8-step distilled inference model of the Krea 2 family, trained from scratch by Krea. A 12.9B-parameter single-stream flow-matching DiT that uses a Qwen3-VL-4B vision-language model as its text encoder and the Qwen-Image VAE. Runs without classifier-free guidance; LoRAs trained on Krea 2 Base apply directly.",
-    "extras": "sampler: Default, cfg_scale: 1.0, steps: 8, width: 1024, height: 1024",
+    "extras": "sampler: Default, cfg_scale: 1.0, steps: 8",
     "size": 33.5,
     "date": "2026 June"
   },
@@ -129,7 +129,7 @@
     "path": "SDXL-Flash_Mini.safetensors@https://huggingface.co/sd-community/sdxl-flash-mini/resolve/main/SDXL-Flash_Mini.safetensors?download=true",
     "preview": "SDXL-Flash_Mini.jpg",
     "desc": "Introducing the new fast model SDXL Flash (Mini), we learned that all fast XL models work fast, but the quality decreases, and we also made a fast model, but it is not as fast as LCM, Turbo, Lightning and Hyper, but the quality is higher.",
-    "extras": "width: 2048, height: 1024, sampler: DEIS, steps: 40, cfg_scale: 6.0",
+    "extras": "sampler: DEIS, steps: 40, cfg_scale: 6.0",
     "experimental": true
   },
   "NVLabs Sana 1.5 1.6B 1k Sprint": {
diff --git a/data/reference-quantized.json b/data/reference-quantized.json
index c544542a6..92267b09c 100644
--- a/data/reference-quantized.json
+++ b/data/reference-quantized.json
@@ -230,7 +230,7 @@
     "path": "vladmandic/Krea-2-Turbo-sdnq-hadamard-uint4",
     "preview": "CalamitousFelicitousness--Krea-2-Turbo-Diffusers.jpg",
     "desc": "Krea 2 (K2) Turbo is the 8-step distilled inference model of the Krea 2 family, trained from scratch by Krea. A 12.9B-parameter single-stream flow-matching DiT that uses a Qwen3-VL-4B vision-language model as its text encoder and the Qwen-Image VAE. Runs without classifier-free guidance; LoRAs trained on Krea 2 Base apply directly.",
-    "extras": "sampler: Default, cfg_scale: 1.0, steps: 8, width: 1024, height: 1024",
+    "extras": "sampler: Default, cfg_scale: 1.0, steps: 8",
     "size": 10.54,
     "date": "2026 July"
   },
@@ -238,7 +238,7 @@
     "path": "vladmandic/Krea-2-Base-sdnq-hadamard-uint4",
     "preview": "CalamitousFelicitousness--Krea-2-Base-Diffusers.jpg",
     "desc": "Krea 2 (K2) Base is the undistilled foundation model of the Krea 2 family, trained from scratch by Krea. A 12.9B-parameter single-stream flow-matching DiT that uses a Qwen3-VL-4B vision-language model as its text encoder and the Qwen-Image VAE. The base checkpoint is intended for fine-tuning and LoRA training; LoRAs trained on it apply to Krea 2 Turbo.",
-    "extras": "sampler: Default, cfg_scale: 4.5, steps: 52, width: 1024, height: 1024",
+    "extras": "sampler: Default, cfg_scale: 4.5, steps: 52",
     "size": 10.3,
     "date": "2026 June"
   }
diff --git a/modules/ui_definitions.py b/modules/ui_definitions.py
index 2a38277dd..3e5d11572 100644
--- a/modules/ui_definitions.py
+++ b/modules/ui_definitions.py
@@ -150,7 +150,7 @@ def create_settings(cmd_opts):
         "caption_offload": OptionInfo(True, "Offload caption models"),
         "caption_to_gpu": OptionInfo(True, "Load caption models direct to GPU"),
         "offload_balanced_sep": OptionInfo("<h2>Balanced Offload</h2>", "", gr.HTML),
-        "diffusers_offload_pre": OptionInfo(True, "Offload during pre-forward"),
+        "diffusers_offload_pre": OptionInfo(True, "Offload during pre-forward", gr.Checkbox, {"visible": False}),
         "diffusers_offload_streams": OptionInfo(False, "Offload using streams"),
         "diffusers_offload_min_gpu_memory": OptionInfo(startup_offload_min_gpu, "Offload low watermark", gr.Slider, {"minimum": 0, "maximum": 1, "step": 0.01 }),
         "diffusers_offload_max_gpu_memory": OptionInfo(startup_offload_max_gpu, "Offload GPU high watermark", gr.Slider, {"minimum": 0.1, "maximum": 1, "step": 0.01 }),