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app.py

@@ -73,7 +73,7 @@ preprocessor_controlnet = {
   ],
   "ip2p": [
     "ip2p"
-  ]
+  ],
 }
 
 task_stablepy = {
@@ -1112,6 +1112,38 @@ with gr.Blocks(theme="NoCrypt/miku@>=1.2.2", elem_id="main", css=CSS) as app:
                         file_output_lora = gr.File(label="Uploaded LoRA", file_types=['.ckpt', '.pt', '.pth', '.safetensors', '.bin'], file_count="multiple", interactive=False, visible=False)
                         upload_button_lora = gr.UploadButton(label="Upload LoRA from your disk (very slow)", file_types=['.ckpt' , '.pt', '.pth', '.safetensors', '.bin'], file_count="multiple")
 
+                with gr.Accordion("ControlNet / Img2img / Inpaint", open=False, visible=True) as menu_i2i:
+                    image_control = gr.Image(label="Image ControlNet/Inpaint/Img2img", type="filepath")
+                    image_mask_gui = gr.Image(label="Image Mask", type="filepath")
+                    strength_gui = gr.Slider(
+                        minimum=0.01, maximum=1.0, step=0.01, value=0.55, label="Strength",
+                        info="This option adjusts the level of changes for img2img and inpainting."
+                    )
+                    image_resolution_gui = gr.Slider(minimum=64, maximum=2048, step=64, value=1024, label="Image Resolution")
+                    preprocessor_name_gui = gr.Dropdown(label="Preprocessor Name", choices=preprocessor_controlnet["canny"], value=preprocessor_controlnet["canny"][0])
+
+                    def change_preprocessor_choices(task):
+                        task = task_stablepy[task]
+                        if task in preprocessor_controlnet.keys():
+                            choices_task = preprocessor_controlnet[task]
+                        else:
+                            choices_task = preprocessor_controlnet["canny"]
+                        return gr.update(choices=choices_task, value=choices_task[0])
+
+                    task_gui.change(
+                        change_preprocessor_choices,
+                        [task_gui],
+                        [preprocessor_name_gui],
+                    )
+                    preprocess_resolution_gui = gr.Slider(minimum=64, maximum=2048, step=64, value=512, label="Preprocess Resolution")
+                    low_threshold_gui = gr.Slider(minimum=1, maximum=255, step=1, value=100, label="Canny low threshold")
+                    high_threshold_gui = gr.Slider(minimum=1, maximum=255, step=1, value=200, label="Canny high threshold")
+                    value_threshold_gui = gr.Slider(minimum=1, maximum=2.0, step=0.01, value=0.1, label="Hough value threshold (MLSD)")
+                    distance_threshold_gui = gr.Slider(minimum=1, maximum=20.0, step=0.01, value=0.1, label="Hough distance threshold (MLSD)")
+                    control_net_output_scaling_gui = gr.Slider(minimum=0, maximum=5.0, step=0.1, value=1, label="ControlNet Output Scaling in UNet")
+                    control_net_start_threshold_gui = gr.Slider(minimum=0, maximum=1, step=0.01, value=0, label="ControlNet Start Threshold (%)")
+                    control_net_stop_threshold_gui = gr.Slider(minimum=0, maximum=1, step=0.01, value=1, label="ControlNet Stop Threshold (%)")
+
                 with gr.Accordion("Advanced functions", open=False, visible=True) as menu_advanced:
                     with gr.Accordion("IP-Adapter", open=False, visible=True) as menu_ipa:##############
 
@@ -1131,38 +1163,6 @@ with gr.Blocks(theme="NoCrypt/miku@>=1.2.2", elem_id="main", css=CSS) as app:
                             mode_ip2 = gr.Dropdown(value="style", label="Mode", choices=MODE_IP_OPTIONS)
                             scale_ip2 = gr.Slider(minimum=0., maximum=2., step=0.01, value=0.7, label="Scale")
 
-                    with gr.Accordion("ControlNet / Img2img / Inpaint", open=False, visible=True) as menu_i2i:
-                        image_control = gr.Image(label="Image ControlNet/Inpaint/Img2img", type="filepath")
-                        image_mask_gui = gr.Image(label="Image Mask", type="filepath")
-                        strength_gui = gr.Slider(
-                            minimum=0.01, maximum=1.0, step=0.01, value=0.55, label="Strength",
-                            info="This option adjusts the level of changes for img2img and inpainting."
-                        )
-                        image_resolution_gui = gr.Slider(minimum=64, maximum=2048, step=64, value=1024, label="Image Resolution")
-                        preprocessor_name_gui = gr.Dropdown(label="Preprocessor Name", choices=preprocessor_controlnet["canny"], value=preprocessor_controlnet["canny"][0])
-
-                        def change_preprocessor_choices(task):
-                            task = task_stablepy[task]
-                            if task in preprocessor_controlnet.keys():
-                                choices_task = preprocessor_controlnet[task]
-                            else:
-                                choices_task = preprocessor_controlnet["canny"]
-                            return gr.update(choices=choices_task, value=choices_task[0])
-
-                        task_gui.change(
-                            change_preprocessor_choices,
-                            [task_gui],
-                            [preprocessor_name_gui],
-                        )
-                        preprocess_resolution_gui = gr.Slider(minimum=64, maximum=2048, step=64, value=512, label="Preprocess Resolution")
-                        low_threshold_gui = gr.Slider(minimum=1, maximum=255, step=1, value=100, label="Canny low threshold")
-                        high_threshold_gui = gr.Slider(minimum=1, maximum=255, step=1, value=200, label="Canny high threshold")
-                        value_threshold_gui = gr.Slider(minimum=1, maximum=2.0, step=0.01, value=0.1, label="Hough value threshold (MLSD)")
-                        distance_threshold_gui = gr.Slider(minimum=1, maximum=20.0, step=0.01, value=0.1, label="Hough distance threshold (MLSD)")
-                        control_net_output_scaling_gui = gr.Slider(minimum=0, maximum=5.0, step=0.1, value=1, label="ControlNet Output Scaling in UNet")
-                        control_net_start_threshold_gui = gr.Slider(minimum=0, maximum=1, step=0.01, value=0, label="ControlNet Start Threshold (%)")
-                        control_net_stop_threshold_gui = gr.Slider(minimum=0, maximum=1, step=0.01, value=1, label="ControlNet Stop Threshold (%)")
-
                     with gr.Accordion("T2I adapter", open=False, visible=True) as menu_t2i:
                         t2i_adapter_preprocessor_gui = gr.Checkbox(value=True, label="T2i Adapter Preprocessor")
                         adapter_conditioning_scale_gui = gr.Slider(minimum=0, maximum=5., step=0.1, value=1, label="Adapter Conditioning Scale")

lora_dict.json

@@ -244,6 +244,13 @@
     "https://civitai.com/models/468990",
     "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/254c853f-e81f-4cd3-9888-7e5f66091103/width=450/13203782.jpeg"
   ],
+  "Black_nipples": [
+    "Nipples",
+    "Pony",
+    "Dark Nipples Concept Pony",
+    "https://civitai.com/models/558202",
+    "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/7b4da9f7-017a-4b6b-94e8-e2860ac0ddb1/width=450/18574976.jpeg"
+  ],
   "Blowjob_Depth_alpha1_0_rank4_noxattn_last": [
     "",
     "Pony",
@@ -279,6 +286,13 @@
     "https://civitai.com/models/547794",
     "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/574d516b-f2f7-465f-850c-6ad1730aa746/width=450/17847694.jpeg"
   ],
+  "CUM_DONATION_ASSISTANCE": [
+    "CUM DONATION ASSISTANCE / FELLATIO / TITS SEX / HANDJOB / FOOTJOB / AFTER VAGINAL",
+    "SDXL 1.0",
+    "Cum Donate Assist",
+    "https://civitai.com/models/558851",
+    "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/29612e59-dd1e-42e2-93f4-60c481e3a7cb/width=450/18581704.jpeg"
+  ],
   "Cage_Sex": [
     "inside cage",
     "Pony",
@@ -1602,6 +1616,13 @@
     "https://civitai.com/models/376481",
     "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/6069da54-b9d0-49e6-a0be-9c00b5509dff/width=450/11648008.jpeg"
   ],
+  "_sdxl-manguri": [
+    "manguri / holding legs, laying, butt up highter, spread legs",
+    "SDXL 1.0",
+    "for PONY & SDXL, Manguri Gaeshi pose - \u307e\u3093\u3050\u308a\u304c\u3048\u3057 \u30dd\u30fc\u30ba Lora",
+    "https://civitai.com/models/337072",
+    "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/4c03b506-f898-4b2b-b040-c90e5df991dc/width=450/18527879.jpeg"
+  ],
   "_sdxl-manguri-pony": [
     "manguri, holding legs",
     "Pony",
@@ -1966,6 +1987,13 @@
     "https://civitai.com/models/356240",
     "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/aec25cb2-e366-4ed1-87f2-1a44adb5913d/width=450/8151800.jpeg"
   ],
+  "breasts_size_slider_pdxl_goofy": [
+    "",
+    "Pony",
+    "Breast size slider pdxl",
+    "https://civitai.com/models/558208",
+    "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/8fe2a91b-96dc-4f55-8c1f-646ebf8fe050/width=450/18547446.jpeg"
+  ],
   "brushinghair_XL_v1": [
     "brushing hair",
     "SDXL 1.0",
@@ -2414,6 +2442,13 @@
     "https://civitai.com/models/492642",
     "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/fc37e04d-b9f8-4b7d-b261-31960f963a6b/width=450/14453052.jpeg"
   ],
+  "fellatio_and_masturbation_pony_V1_0": [
+    "fellatio and masturbation / fellatio / female masturbation / fingering / pussy / dildo",
+    "Pony",
+    "\u30d5\u30a7\u30e9\u30c1\u30aa\u3068\u30aa\u30ca\u30cb\u30fc/ fellatio and masturbation",
+    "https://civitai.com/models/554142",
+    "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/98572df7-7c59-4079-a68a-e3bd1dc1fc85/width=450/18274457.jpeg"
+  ],
   "fetal_position_pony": [
     "fetal_position",
     "Pony",
@@ -3975,6 +4010,13 @@
     "https://civitai.com/models/551663",
     "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/194d46db-e4f3-4467-b977-6b201815d1f5/width=450/18105813.jpeg"
   ],
+  "sentou_SDXL_V5": [
+    "sentou, bathroom, , scenery, building, water, window, sink, door, indoors, painting (object), ",
+    "SDXL 1.0",
+    "\u92ad\u6e6f Sento / SDXL",
+    "https://civitai.com/models/558803",
+    "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/b7d0dafe-2d28-4606-ae8f-b551e34c4b88/width=450/18577033.jpeg"
+  ],
   "sfw1": [
     "",
     "Pony",
@@ -4570,6 +4612,13 @@
     "https://civitai.com/models/512070",
     "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/5b137756-e00e-482f-91bb-f84533f7ce53/width=450/15628078.jpeg"
   ],
+  "wrestling_uniform_pony_V1_0": [
+    "uniform, wresting",
+    "Pony",
+    "\u30ec\u30b9\u30ea\u30f3\u30b0\u30e6\u30cb\u30d5\u30a9\u30fc\u30e0/wresting uniform",
+    "https://civitai.com/models/557947",
+    "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/715fb718-2023-4587-b15c-1d349d44eef8/width=450/18523986.jpeg"
+  ],
   "wringingskirt_Pony_v1": [
     "wringing skirt",
     "Pony",

modutils.py

@@ -252,11 +252,11 @@ optimization_list = {
     "DPO": [28, 7., 'Euler a', True, 'loras/sdxl-DPO-LoRA.safetensors', 1.],
     "DPO Turbo": [8, 2.5, 'LCM', True, 'loras/sd_xl_dpo_turbo_lora_v1-128dim.safetensors', 1.],
     "SDXL Turbo": [8, 2.5, 'LCM', True, 'loras/sd_xl_turbo_lora_v1.safetensors', 1.],
-    "Hyper-SDXL 12step": [12, 5., 'Euler a trailing', True, 'loras/Hyper-SDXL-12steps-CFG-lora.safetensors', 0.9],
-    "Hyper-SDXL 8step": [8, 5., 'Euler a trailing', True, 'loras/Hyper-SDXL-8steps-CFG-lora.safetensors', 0.9],
-    "Hyper-SDXL 4step": [4, 0, 'Euler a trailing', True, 'loras/Hyper-SDXL-4steps-lora.safetensors', 0.9],
-    "Hyper-SDXL 2step": [2, 0, 'Euler a trailing', True, 'loras/Hyper-SDXL-2steps-lora.safetensors', 0.9],
-    "Hyper-SDXL 1step": [1, 0, 'Euler a trailing', True, 'loras/Hyper-SDXL-1steps-lora.safetensors', 0.9],
+    "Hyper-SDXL 12step": [12, 5., 'TCD', True, 'loras/Hyper-SDXL-12steps-CFG-lora.safetensors', 1.],
+    "Hyper-SDXL 8step": [8, 5., 'TCD', True, 'loras/Hyper-SDXL-8steps-CFG-lora.safetensors', 1.],
+    "Hyper-SDXL 4step": [4, 0, 'TCD', True, 'loras/Hyper-SDXL-4steps-lora.safetensors', 1.],
+    "Hyper-SDXL 2step": [2, 0, 'TCD', True, 'loras/Hyper-SDXL-2steps-lora.safetensors', 1.],
+    "Hyper-SDXL 1step": [1, 0, 'TCD', True, 'loras/Hyper-SDXL-1steps-lora.safetensors', 1.],
     "PCM 16step": [16, 4., 'Euler a trailing', True, 'loras/pcm_sdxl_normalcfg_16step_converted.safetensors', 1.],
     "PCM 8step": [8, 4., 'Euler a trailing', True, 'loras/pcm_sdxl_normalcfg_8step_converted.safetensors', 1.],
     "PCM 4step": [4, 2., 'Euler a trailing', True, 'loras/pcm_sdxl_smallcfg_4step_converted.safetensors', 1.],