added multiple models

src/assets/history/entries/027d2413-fbd2-4a24-9ff7-98fc8d3e80c9.json

@@ -0,0 +1,15 @@
+{
+  "mode": "txt2img",
+  "prompt": "oil painting, impasto brush strokes, classical lighting, Rembrandt style",
+  "negative_prompt": "blurry, cartoonish, digital artifacts",
+  "steps": 40,
+  "guidance_scale": 8.5,
+  "width": 512,
+  "height": 768,
+  "seed": 7956870375603612926,
+  "elapsed_seconds": 202.7896490097046,
+  "timestamp": "2025-12-04T14:22:51.556788",
+  "id": "027d2413-fbd2-4a24-9ff7-98fc8d3e80c9",
+  "thumbnail": "/home/sanskar-modi/current_working_personal_projects/stable-diffusion-image-generator/src/assets/history/thumbnails/027d2413-fbd2-4a24-9ff7-98fc8d3e80c9.png",
+  "full_image": "/home/sanskar-modi/current_working_personal_projects/stable-diffusion-image-generator/src/assets/history/full/027d2413-fbd2-4a24-9ff7-98fc8d3e80c9.png"
+}

src/assets/history/entries/06fafc3a-ab60-4485-ae4c-b4b02d7e9674.json

@@ -0,0 +1,16 @@
+{
+  "mode": "img2img",
+  "prompt": "oil painting, impasto brush strokes, classical             lighting, Rembrandt style",
+  "negative_prompt": "blurry, cartoonish, digital artifacts",
+  "steps": 40,
+  "guidance_scale": 8.5,
+  "width": 384,
+  "height": 384,
+  "seed": 508343615982598748,
+  "strength": 0.6,
+  "elapsed_seconds": 35.82293701171875,
+  "timestamp": "2025-12-04T14:16:04.829771",
+  "id": "06fafc3a-ab60-4485-ae4c-b4b02d7e9674",
+  "thumbnail": "/home/sanskar-modi/current_working_personal_projects/stable-diffusion-image-generator/src/assets/history/thumbnails/06fafc3a-ab60-4485-ae4c-b4b02d7e9674.png",
+  "full_image": "/home/sanskar-modi/current_working_personal_projects/stable-diffusion-image-generator/src/assets/history/full/06fafc3a-ab60-4485-ae4c-b4b02d7e9674.png"
+}

src/assets/history/entries/139c06d9-13ce-4a83-8771-507a02278524.json

@@ -0,0 +1,15 @@
+{
+  "mode": "txt2img",
+  "prompt": "high quality anime, clean lines, vibrant colors,                 soft rim lighting, studio lighting",
+  "negative_prompt": "blurry, low detail, mutation, deformed",
+  "steps": 25,
+  "guidance_scale": 7.0,
+  "width": 448,
+  "height": 448,
+  "seed": 7658870821531991741,
+  "elapsed_seconds": 7.105409383773804,
+  "timestamp": "2025-12-04T13:24:58.460595",
+  "id": "139c06d9-13ce-4a83-8771-507a02278524",
+  "thumbnail": "/home/sanskar-modi/current_working_personal_projects/stable-diffusion-image-generator/src/assets/history/thumbnails/139c06d9-13ce-4a83-8771-507a02278524.png",
+  "full_image": "/home/sanskar-modi/current_working_personal_projects/stable-diffusion-image-generator/src/assets/history/full/139c06d9-13ce-4a83-8771-507a02278524.png"
+}

src/assets/history/entries/2112d860-c83a-40b9-af44-8dffe4464e34.json

@@ -0,0 +1,15 @@
+{
+  "mode": "txt2img",
+  "prompt": "oil painting, impasto brush strokes, classical lighting, Rembrandt style",
+  "negative_prompt": "blurry, cartoonish, digital artifacts",
+  "steps": 10,
+  "guidance_scale": 8.5,
+  "width": 512,
+  "height": 512,
+  "seed": 40003955912794948,
+  "elapsed_seconds": 35.98195815086365,
+  "timestamp": "2025-12-04T14:48:38.501230",
+  "id": "2112d860-c83a-40b9-af44-8dffe4464e34",
+  "thumbnail": "/home/sanskar-modi/current_working_personal_projects/stable-diffusion-image-generator/src/assets/history/thumbnails/2112d860-c83a-40b9-af44-8dffe4464e34.png",
+  "full_image": "/home/sanskar-modi/current_working_personal_projects/stable-diffusion-image-generator/src/assets/history/full/2112d860-c83a-40b9-af44-8dffe4464e34.png"
+}

src/assets/history/entries/33f3345e-f96d-4639-ad6a-f1f29639ace4.json

@@ -0,0 +1,15 @@
+{
+  "mode": "txt2img",
+  "prompt": "high quality anime, clean lines, vibrant colors,                 soft rim lighting, studio lighting",
+  "negative_prompt": "blurry, low detail, mutation, deformed",
+  "steps": 26,
+  "guidance_scale": 7.0,
+  "width": 448,
+  "height": 448,
+  "seed": 5403877172223779031,
+  "elapsed_seconds": 7.454399347305298,
+  "timestamp": "2025-12-04T13:27:43.827963",
+  "id": "33f3345e-f96d-4639-ad6a-f1f29639ace4",
+  "thumbnail": "/home/sanskar-modi/current_working_personal_projects/stable-diffusion-image-generator/src/assets/history/thumbnails/33f3345e-f96d-4639-ad6a-f1f29639ace4.png",
+  "full_image": "/home/sanskar-modi/current_working_personal_projects/stable-diffusion-image-generator/src/assets/history/full/33f3345e-f96d-4639-ad6a-f1f29639ace4.png"
+}

src/assets/history/entries/3e91c2d6-f541-48a5-a29c-726bb7317a78.json

@@ -0,0 +1,15 @@
+{
+  "mode": "txt2img",
+  "prompt": "high quality anime, clean lines, vibrant colors,             soft rim lighting, studio lighting",
+  "negative_prompt": "blurry, low detail, mutation, deformed",
+  "steps": 30,
+  "guidance_scale": 8.0,
+  "width": 512,
+  "height": 512,
+  "seed": 7883419924506962153,
+  "elapsed_seconds": 93.77058839797974,
+  "timestamp": "2025-12-04T14:13:49.558903",
+  "id": "3e91c2d6-f541-48a5-a29c-726bb7317a78",
+  "thumbnail": "/home/sanskar-modi/current_working_personal_projects/stable-diffusion-image-generator/src/assets/history/thumbnails/3e91c2d6-f541-48a5-a29c-726bb7317a78.png",
+  "full_image": "/home/sanskar-modi/current_working_personal_projects/stable-diffusion-image-generator/src/assets/history/full/3e91c2d6-f541-48a5-a29c-726bb7317a78.png"
+}

src/assets/history/entries/620beb14-a3bc-40e8-84fc-f235b542ba61.json

@@ -0,0 +1,15 @@
+{
+  "mode": "txt2img",
+  "prompt": "oil painting, impasto brush strokes, classical             lighting, Rembrandt style",
+  "negative_prompt": "blurry, cartoonish, digital artifacts",
+  "steps": 40,
+  "guidance_scale": 8.5,
+  "width": 512,
+  "height": 768,
+  "seed": 7450002424425761588,
+  "elapsed_seconds": 209.31288957595825,
+  "timestamp": "2025-12-04T14:09:31.084861",
+  "id": "620beb14-a3bc-40e8-84fc-f235b542ba61",
+  "thumbnail": "/home/sanskar-modi/current_working_personal_projects/stable-diffusion-image-generator/src/assets/history/thumbnails/620beb14-a3bc-40e8-84fc-f235b542ba61.png",
+  "full_image": "/home/sanskar-modi/current_working_personal_projects/stable-diffusion-image-generator/src/assets/history/full/620beb14-a3bc-40e8-84fc-f235b542ba61.png"
+}

src/assets/history/entries/74f4e171-ec11-4079-be63-1bac1208aa8b.json

@@ -0,0 +1,16 @@
+{
+  "mode": "img2img",
+  "prompt": "oil painting, impasto brush strokes, classical lighting, Rembrandt style",
+  "negative_prompt": "blurry, cartoonish, digital artifacts",
+  "steps": 40,
+  "guidance_scale": 8.5,
+  "width": 384,
+  "height": 384,
+  "seed": 9140586117572609520,
+  "strength": 0.6,
+  "elapsed_seconds": 38.3564293384552,
+  "timestamp": "2025-12-04T16:40:47.138533",
+  "id": "74f4e171-ec11-4079-be63-1bac1208aa8b",
+  "thumbnail": "/home/sanskar-modi/current_working_personal_projects/stable-diffusion-image-generator/src/assets/history/thumbnails/74f4e171-ec11-4079-be63-1bac1208aa8b.png",
+  "full_image": "/home/sanskar-modi/current_working_personal_projects/stable-diffusion-image-generator/src/assets/history/full/74f4e171-ec11-4079-be63-1bac1208aa8b.png"
+}

src/assets/history/entries/950520f5-b9ff-49e2-86a2-ff63ebe41e92.json

@@ -0,0 +1,15 @@
+{
+  "mode": "txt2img",
+  "prompt": "ultra realistic, 35mm photography,             photorealistic, cinematic lighting",
+  "negative_prompt": "low quality, blurry, deformed, extra limbs",
+  "steps": 28,
+  "guidance_scale": 7.5,
+  "width": 512,
+  "height": 512,
+  "seed": 1390214708901413353,
+  "elapsed_seconds": 85.99510884284973,
+  "timestamp": "2025-12-04T13:57:18.478626",
+  "id": "950520f5-b9ff-49e2-86a2-ff63ebe41e92",
+  "thumbnail": "/home/sanskar-modi/current_working_personal_projects/stable-diffusion-image-generator/src/assets/history/thumbnails/950520f5-b9ff-49e2-86a2-ff63ebe41e92.png",
+  "full_image": "/home/sanskar-modi/current_working_personal_projects/stable-diffusion-image-generator/src/assets/history/full/950520f5-b9ff-49e2-86a2-ff63ebe41e92.png"
+}

src/assets/history/entries/abef507b-ce60-41ed-a4fb-4e9c17e3df86.json

@@ -0,0 +1,15 @@
+{
+  "mode": "txt2img",
+  "prompt": "oil painting, impasto brush strokes, classical lighting, Rembrandt style",
+  "negative_prompt": "blurry, cartoonish, digital artifacts",
+  "steps": 6,
+  "guidance_scale": 8.5,
+  "width": 512,
+  "height": 768,
+  "seed": 7238946422616423766,
+  "elapsed_seconds": 40.70923161506653,
+  "timestamp": "2025-12-04T16:31:14.247688",
+  "id": "abef507b-ce60-41ed-a4fb-4e9c17e3df86",
+  "thumbnail": "/home/sanskar-modi/current_working_personal_projects/stable-diffusion-image-generator/src/assets/history/thumbnails/abef507b-ce60-41ed-a4fb-4e9c17e3df86.png",
+  "full_image": "/home/sanskar-modi/current_working_personal_projects/stable-diffusion-image-generator/src/assets/history/full/abef507b-ce60-41ed-a4fb-4e9c17e3df86.png"
+}

src/assets/history/entries/b13132cf-6915-47d2-b86c-9a7fe59cd11d.json

@@ -0,0 +1,15 @@
+{
+  "mode": "txt2img",
+  "prompt": "dramatic cinematic lighting, moody, film grain,                 Kodak Portra, filmic color grading",
+  "negative_prompt": "oversaturated, low detail, flat lighting",
+  "steps": 30,
+  "guidance_scale": 7.0,
+  "width": 768,
+  "height": 512,
+  "seed": 6475212377733185643,
+  "elapsed_seconds": 20.65937638282776,
+  "timestamp": "2025-12-04T13:27:30.835543",
+  "id": "b13132cf-6915-47d2-b86c-9a7fe59cd11d",
+  "thumbnail": "/home/sanskar-modi/current_working_personal_projects/stable-diffusion-image-generator/src/assets/history/thumbnails/b13132cf-6915-47d2-b86c-9a7fe59cd11d.png",
+  "full_image": "/home/sanskar-modi/current_working_personal_projects/stable-diffusion-image-generator/src/assets/history/full/b13132cf-6915-47d2-b86c-9a7fe59cd11d.png"
+}

src/assets/history/entries/cd919b62-6d02-43b0-8233-65db1976aae5.json

@@ -0,0 +1,15 @@
+{
+  "mode": "txt2img",
+  "prompt": "oil painting, impasto brush strokes, classical lighting, Rembrandt style",
+  "negative_prompt": "blurry, cartoonish, digital artifacts",
+  "steps": 20,
+  "guidance_scale": 8.5,
+  "width": 512,
+  "height": 768,
+  "seed": 6204994568325223347,
+  "elapsed_seconds": 105.84215068817139,
+  "timestamp": "2025-12-04T16:30:15.167704",
+  "id": "cd919b62-6d02-43b0-8233-65db1976aae5",
+  "thumbnail": "/home/sanskar-modi/current_working_personal_projects/stable-diffusion-image-generator/src/assets/history/thumbnails/cd919b62-6d02-43b0-8233-65db1976aae5.png",
+  "full_image": "/home/sanskar-modi/current_working_personal_projects/stable-diffusion-image-generator/src/assets/history/full/cd919b62-6d02-43b0-8233-65db1976aae5.png"
+}

src/assets/history/entries/e00c8028-63d1-40a7-8504-e1a447538fe1.json

@@ -0,0 +1,15 @@
+{
+  "mode": "txt2img",
+  "prompt": "dramatic cinematic lighting, moody, film grain,                 Kodak Portra, filmic color grading",
+  "negative_prompt": "oversaturated, low detail, flat lighting",
+  "steps": 30,
+  "guidance_scale": 7.0,
+  "width": 768,
+  "height": 512,
+  "seed": 6882939413923257663,
+  "elapsed_seconds": 20.79175043106079,
+  "timestamp": "2025-12-04T13:29:35.384099",
+  "id": "e00c8028-63d1-40a7-8504-e1a447538fe1",
+  "thumbnail": "/home/sanskar-modi/current_working_personal_projects/stable-diffusion-image-generator/src/assets/history/thumbnails/e00c8028-63d1-40a7-8504-e1a447538fe1.png",
+  "full_image": "/home/sanskar-modi/current_working_personal_projects/stable-diffusion-image-generator/src/assets/history/full/e00c8028-63d1-40a7-8504-e1a447538fe1.png"
+}

src/assets/history/entries/e093f3e1-0d76-4fd6-b16e-478effbcd711.json

@@ -0,0 +1,15 @@
+{
+  "mode": "txt2img",
+  "prompt": "dramatic cinematic lighting, moody, film grain,                 Kodak Portra, filmic color grading",
+  "negative_prompt": "oversaturated, low detail, flat lighting",
+  "steps": 30,
+  "guidance_scale": 7.0,
+  "width": 768,
+  "height": 512,
+  "seed": 2484357327948880929,
+  "elapsed_seconds": 160.33333945274353,
+  "timestamp": "2025-12-04T13:38:22.075875",
+  "id": "e093f3e1-0d76-4fd6-b16e-478effbcd711",
+  "thumbnail": "/home/sanskar-modi/current_working_personal_projects/stable-diffusion-image-generator/src/assets/history/thumbnails/e093f3e1-0d76-4fd6-b16e-478effbcd711.png",
+  "full_image": "/home/sanskar-modi/current_working_personal_projects/stable-diffusion-image-generator/src/assets/history/full/e093f3e1-0d76-4fd6-b16e-478effbcd711.png"
+}

src/assets/history/index.json

@@ -1,4 +1,144 @@
 [
+  {
+    "id": "74f4e171-ec11-4079-be63-1bac1208aa8b",
+    "prompt": "oil painting, impasto brush strokes, classical lighting, Rembrandt style",
+    "mode": "img2img",
+    "seed": 9140586117572609520,
+    "width": 384,
+    "height": 384,
+    "timestamp": "2025-12-04T16:40:47.138533",
+    "thumbnail": "/home/sanskar-modi/current_working_personal_projects/stable-diffusion-image-generator/src/assets/history/thumbnails/74f4e171-ec11-4079-be63-1bac1208aa8b.png"
+  },
+  {
+    "id": "abef507b-ce60-41ed-a4fb-4e9c17e3df86",
+    "prompt": "oil painting, impasto brush strokes, classical lighting, Rembrandt style",
+    "mode": "txt2img",
+    "seed": 7238946422616423766,
+    "width": 512,
+    "height": 768,
+    "timestamp": "2025-12-04T16:31:14.247688",
+    "thumbnail": "/home/sanskar-modi/current_working_personal_projects/stable-diffusion-image-generator/src/assets/history/thumbnails/abef507b-ce60-41ed-a4fb-4e9c17e3df86.png"
+  },
+  {
+    "id": "cd919b62-6d02-43b0-8233-65db1976aae5",
+    "prompt": "oil painting, impasto brush strokes, classical lighting, Rembrandt style",
+    "mode": "txt2img",
+    "seed": 6204994568325223347,
+    "width": 512,
+    "height": 768,
+    "timestamp": "2025-12-04T16:30:15.167704",
+    "thumbnail": "/home/sanskar-modi/current_working_personal_projects/stable-diffusion-image-generator/src/assets/history/thumbnails/cd919b62-6d02-43b0-8233-65db1976aae5.png"
+  },
+  {
+    "id": "2112d860-c83a-40b9-af44-8dffe4464e34",
+    "prompt": "oil painting, impasto brush strokes, classical lighting, Rembrandt style",
+    "mode": "txt2img",
+    "seed": 40003955912794948,
+    "width": 512,
+    "height": 512,
+    "timestamp": "2025-12-04T14:48:38.501230",
+    "thumbnail": "/home/sanskar-modi/current_working_personal_projects/stable-diffusion-image-generator/src/assets/history/thumbnails/2112d860-c83a-40b9-af44-8dffe4464e34.png"
+  },
+  {
+    "id": "027d2413-fbd2-4a24-9ff7-98fc8d3e80c9",
+    "prompt": "oil painting, impasto brush strokes, classical lighting, Rembrandt style",
+    "mode": "txt2img",
+    "seed": 7956870375603612926,
+    "width": 512,
+    "height": 768,
+    "timestamp": "2025-12-04T14:22:51.556788",
+    "thumbnail": "/home/sanskar-modi/current_working_personal_projects/stable-diffusion-image-generator/src/assets/history/thumbnails/027d2413-fbd2-4a24-9ff7-98fc8d3e80c9.png"
+  },
+  {
+    "id": "06fafc3a-ab60-4485-ae4c-b4b02d7e9674",
+    "prompt": "oil painting, impasto brush strokes, classical             lighting, Rembrandt style",
+    "mode": "img2img",
+    "seed": 508343615982598748,
+    "width": 384,
+    "height": 384,
+    "timestamp": "2025-12-04T14:16:04.829771",
+    "thumbnail": "/home/sanskar-modi/current_working_personal_projects/stable-diffusion-image-generator/src/assets/history/thumbnails/06fafc3a-ab60-4485-ae4c-b4b02d7e9674.png"
+  },
+  {
+    "id": "3e91c2d6-f541-48a5-a29c-726bb7317a78",
+    "prompt": "high quality anime, clean lines, vibrant colors,             soft rim lighting, studio lighting",
+    "mode": "txt2img",
+    "seed": 7883419924506962153,
+    "width": 512,
+    "height": 512,
+    "timestamp": "2025-12-04T14:13:49.558903",
+    "thumbnail": "/home/sanskar-modi/current_working_personal_projects/stable-diffusion-image-generator/src/assets/history/thumbnails/3e91c2d6-f541-48a5-a29c-726bb7317a78.png"
+  },
+  {
+    "id": "620beb14-a3bc-40e8-84fc-f235b542ba61",
+    "prompt": "oil painting, impasto brush strokes, classical             lighting, Rembrandt style",
+    "mode": "txt2img",
+    "seed": 7450002424425761588,
+    "width": 512,
+    "height": 768,
+    "timestamp": "2025-12-04T14:09:31.084861",
+    "thumbnail": "/home/sanskar-modi/current_working_personal_projects/stable-diffusion-image-generator/src/assets/history/thumbnails/620beb14-a3bc-40e8-84fc-f235b542ba61.png"
+  },
+  {
+    "id": "950520f5-b9ff-49e2-86a2-ff63ebe41e92",
+    "prompt": "ultra realistic, 35mm photography,             photorealistic, cinematic lighting",
+    "mode": "txt2img",
+    "seed": 1390214708901413353,
+    "width": 512,
+    "height": 512,
+    "timestamp": "2025-12-04T13:57:18.478626",
+    "thumbnail": "/home/sanskar-modi/current_working_personal_projects/stable-diffusion-image-generator/src/assets/history/thumbnails/950520f5-b9ff-49e2-86a2-ff63ebe41e92.png"
+  },
+  {
+    "id": "e093f3e1-0d76-4fd6-b16e-478effbcd711",
+    "prompt": "dramatic cinematic lighting, moody, film grain,                 Kodak Portra, filmic color grading",
+    "mode": "txt2img",
+    "seed": 2484357327948880929,
+    "width": 768,
+    "height": 512,
+    "timestamp": "2025-12-04T13:38:22.075875",
+    "thumbnail": "/home/sanskar-modi/current_working_personal_projects/stable-diffusion-image-generator/src/assets/history/thumbnails/e093f3e1-0d76-4fd6-b16e-478effbcd711.png"
+  },
+  {
+    "id": "e00c8028-63d1-40a7-8504-e1a447538fe1",
+    "prompt": "dramatic cinematic lighting, moody, film grain,                 Kodak Portra, filmic color grading",
+    "mode": "txt2img",
+    "seed": 6882939413923257663,
+    "width": 768,
+    "height": 512,
+    "timestamp": "2025-12-04T13:29:35.384099",
+    "thumbnail": "/home/sanskar-modi/current_working_personal_projects/stable-diffusion-image-generator/src/assets/history/thumbnails/e00c8028-63d1-40a7-8504-e1a447538fe1.png"
+  },
+  {
+    "id": "33f3345e-f96d-4639-ad6a-f1f29639ace4",
+    "prompt": "high quality anime, clean lines, vibrant colors,                 soft rim lighting, studio lighting",
+    "mode": "txt2img",
+    "seed": 5403877172223779031,
+    "width": 448,
+    "height": 448,
+    "timestamp": "2025-12-04T13:27:43.827963",
+    "thumbnail": "/home/sanskar-modi/current_working_personal_projects/stable-diffusion-image-generator/src/assets/history/thumbnails/33f3345e-f96d-4639-ad6a-f1f29639ace4.png"
+  },
+  {
+    "id": "b13132cf-6915-47d2-b86c-9a7fe59cd11d",
+    "prompt": "dramatic cinematic lighting, moody, film grain,                 Kodak Portra, filmic color grading",
+    "mode": "txt2img",
+    "seed": 6475212377733185643,
+    "width": 768,
+    "height": 512,
+    "timestamp": "2025-12-04T13:27:30.835543",
+    "thumbnail": "/home/sanskar-modi/current_working_personal_projects/stable-diffusion-image-generator/src/assets/history/thumbnails/b13132cf-6915-47d2-b86c-9a7fe59cd11d.png"
+  },
+  {
+    "id": "139c06d9-13ce-4a83-8771-507a02278524",
+    "prompt": "high quality anime, clean lines, vibrant colors,                 soft rim lighting, studio lighting",
+    "mode": "txt2img",
+    "seed": 7658870821531991741,
+    "width": 448,
+    "height": 448,
+    "timestamp": "2025-12-04T13:24:58.460595",
+    "thumbnail": "/home/sanskar-modi/current_working_personal_projects/stable-diffusion-image-generator/src/assets/history/thumbnails/139c06d9-13ce-4a83-8771-507a02278524.png"
+  },
   {
     "id": "a6861b54-0afb-4b32-bb33-cacdadd7e639",
     "prompt": "dramatic cinematic lighting, moody, film grain, Kodak Portra, filmic color grading",

src/sdgen/config/settings.py

@@ -23,7 +23,8 @@ class AppSettings:
     - SHARE: enable Gradio public sharing link
     """
 
-    model_id: str = os.getenv("MODEL_ID", "runwayml/stable-diffusion-v1-5")
+    model_id1: str = os.getenv("MODEL_ID1", "runwayml/stable-diffusion-v1-5")
+    model_id2: str = os.getenv("MODEL_ID2", "stabilityai/stable-diffusion-turbo")
     enable_xformers: bool = bool(int(os.getenv("XFORMERS", "0")))
     warmup: bool = bool(int(os.getenv("WARMUP", "1")))
     server_port: int = int(os.getenv("PORT", "7860"))

src/sdgen/main.py

@@ -36,25 +36,39 @@ def detect_device() -> str:
 def main() -> None:
     """Start the Stable Diffusion UI and initialize inference pipelines."""
     settings = AppSettings()
-    model_id = settings.model_id
+    model_id1 = settings.model_id1
+    model_id2 = settings.model_id2
 
     device = detect_device()
 
-    logger.info("Loading pipeline %s", model_id)
-    pipe = load_pipeline(
-        model_id=model_id,
-        device=device,
-        use_fp16=device == "cuda",
-        enable_xformers=settings.enable_xformers,
-    )
-
+    logger.info("Loading pipeline %s", model_id1)
+    pipes = {
+        "SD1.5": load_pipeline(
+            model_id=model_id1,
+            device=device,
+            use_fp16=device == "cuda",
+            enable_xformers=settings.enable_xformers,
+        ),
+        "Turbo": load_pipeline(
+            model_id=model_id2,
+            device=device,
+            use_fp16=device == "cuda",
+            enable_xformers=settings.enable_xformers,
+        ),
+    }
     if device == "cuda" and settings.warmup:
-        warmup_pipeline(pipe)
-
-    img2img_pipe = prepare_img2img_pipeline(pipe)
-
-    demo = build_ui(pipe, img2img_pipe)
-    demo.launch(
+        warmup_pipeline(pipes["SD1.5"])
+
+    img2img_pipes = {
+        "SD1.5": prepare_img2img_pipeline(pipes["SD1.5"]),
+        "Turbo": prepare_img2img_pipeline(pipes["Turbo"]),
+    }
+
+    demo = build_ui(pipes, img2img_pipes)
+    demo.queue(
+        concurrency_count=1,
+        max_size=8,
+    ).launch(
         server_name=settings.server_host,
         server_port=settings.server_port,
         share=settings.share,

src/sdgen/presets/styles.py

@@ -13,71 +13,41 @@ PRESETS: Dict[str, Dict[str, Any]] = {
     "Realistic Photo": {
         "prompt": (
             "ultra realistic, 35mm photography, \
-                photorealistic, "
-            "cinematic lighting"
+photorealistic, cinematic lighting"
         ),
         "negative_prompt": "low quality, blurry, deformed, extra limbs",
-        "steps": 28,
-        "guidance_scale": 7.5,
-        "width": 512,
-        "height": 512,
-        "note": "Natural lighting, sharp details, realistic skin texture",
         "tags": ["realistic", "photo"],
     },
     "Anime": {
         "prompt": (
             "high quality anime, clean lines, vibrant colors, \
-                soft rim lighting, "
-            "studio lighting"
+soft rim lighting, studio lighting"
         ),
         "negative_prompt": "blurry, low detail, mutation, deformed",
-        "steps": 30,
-        "guidance_scale": 8.0,
-        "width": 512,
-        "height": 512,
-        "note": "Use for anime-style character generation",
         "tags": ["anime", "stylized"],
     },
     "Cinematic / Moody": {
         "prompt": (
             "dramatic cinematic lighting, moody, film grain, \
-                Kodak Portra, "
-            "filmic color grading"
+Kodak Portra, filmic color grading"
         ),
         "negative_prompt": "oversaturated, low detail, flat lighting",
-        "steps": 30,
-        "guidance_scale": 7.0,
-        "width": 768,
-        "height": 512,
-        "note": "Wider aspect ratio for cinematic feel",
         "tags": ["cinematic", "moody"],
     },
     "Oil Painting / Classic Art": {
         "prompt": (
             "oil painting, impasto brush strokes, classical \
-                lighting, "
-            "Rembrandt style"
+lighting, Rembrandt style"
         ),
         "negative_prompt": "blurry, cartoonish, digital artifacts",
-        "steps": 40,
-        "guidance_scale": 8.5,
-        "width": 512,
-        "height": 768,
-        "note": "Painterly aesthetic reminiscent of classical oil art",
         "tags": ["art", "oil", "painterly"],
     },
     "Cyberpunk / Neon": {
         "prompt": (
             "cyberpunk city, neon reflections, wet streets, \
-                high detail, "
-            "synthwave aesthetic"
+high detail, synthwave aesthetic"
         ),
         "negative_prompt": "low detail, daytime, blurry",
-        "steps": 30,
-        "guidance_scale": 7.5,
-        "width": 512,
-        "height": 768,
-        "note": "Vibrant neon-lit futuristic look",
         "tags": ["cyberpunk", "neon"],
     },
 }

src/sdgen/sd/img2img.py

@@ -110,7 +110,7 @@ def generate_img2img(
     with torch.autocast(device_type=autocast_device):
         out = pipe(
             prompt=cfg.prompt,
-            negative_prompt=cfg.neg_prompt or None,
+            negative_prompt=cfg.negative_prompt or None,
             image=init,
             strength=float(cfg.strength),
             num_inference_steps=int(cfg.steps),
@@ -124,7 +124,7 @@ def generate_img2img(
     meta = GenerationMetadata(
         mode="img2img",
         prompt=cfg.prompt,
-        negative_prompt=cfg.neg_prompt or "",
+        negative_prompt=cfg.negative_prompt or "",
         steps=int(cfg.steps),
         guidance_scale=float(cfg.guidance_scale),
         width=width,

src/sdgen/sd/pipeline.py

@@ -6,7 +6,11 @@ import os
 from typing import Optional
 
 import torch
-from diffusers import DPMSolverMultistepScheduler, StableDiffusionPipeline
+from diffusers import (
+    DPMSolverMultistepScheduler,
+    EulerAncestralDiscreteScheduler,
+    StableDiffusionPipeline,
+)
 
 from sdgen.utils.logger import get_logger
 
@@ -29,7 +33,7 @@ def load_pipeline(
     use_fp16: bool = True,
     enable_xformers: bool = False,
     torch_dtype: Optional[torch.dtype] = None,
-    scheduler: Optional[DPMSolverMultistepScheduler] = None,
+    scheduler: any = None,
 ) -> StableDiffusionPipeline:
     """Load the Stable Diffusion pipeline with optional scheduler and xFormers.
 
@@ -49,10 +53,16 @@ def load_pipeline(
 
     if scheduler is None:
         try:
-            scheduler = DPMSolverMultistepScheduler.from_pretrained(
-                model_id,
-                subfolder="scheduler",
-            )
+            if "turbo" in model_id.lower():
+                scheduler = EulerAncestralDiscreteScheduler.from_pretrained(
+                    model_id,
+                    subfolder="scheduler",
+                )
+            else:
+                scheduler = DPMSolverMultistepScheduler.from_pretrained(
+                    model_id,
+                    subfolder="scheduler",
+                )
         except Exception:
             scheduler = None
 

src/sdgen/ui/layout.py

@@ -16,8 +16,6 @@ from sdgen.ui.tabs import (
     build_txt2img_tab,
     build_upscaler_tab,
 )
-from sdgen.ui.tabs.img2img_tab import Img2ImgControls
-from sdgen.ui.tabs.txt2img_tab import Txt2ImgControls
 from sdgen.upscaler.upscaler import Upscaler
 from sdgen.utils.common import pretty_json, to_pil
 from sdgen.utils.history import save_history_entry
@@ -42,8 +40,16 @@ def _resolve_seed(value: Any) -> int | None:
         return None
 
 
+def _update_steps(model):
+    """Upate steps based on the model."""
+    if model == "Turbo":
+        return gr.update(minimum=1, maximum=10, value=6, step=1)
+    return gr.update(minimum=10, maximum=30, value=20, step=1)
+
+
 def _txt2img_handler(
-    pipe: Any,
+    model_choice: str,
+    pipes: dict,
     prompt: str,
     negative: str,
     steps: int,
@@ -53,6 +59,9 @@ def _txt2img_handler(
     seed: Any,
 ) -> Tuple[Any, str]:
     """Run text-to-image generation."""
+    model = model_choice
+    pipe = pipes[model]
+
     cfg = Txt2ImgConfig(
         prompt=prompt or "",
         negative_prompt=negative or "",
@@ -75,7 +84,8 @@ def _txt2img_handler(
 
 
 def _img2img_handler(
-    pipe: Any,
+    model_choice: str,
+    pipes: dict,
     input_image: Any,
     prompt: str,
     negative: str,
@@ -85,6 +95,9 @@ def _img2img_handler(
     seed: Any,
 ) -> Tuple[Any, str]:
     """Run image-to-image generation."""
+    model = model_choice
+    pipe = pipes[model]
+
     if input_image is None:
         raise gr.Error("Upload an image to continue.")
 
@@ -146,7 +159,7 @@ def _upscale_handler(
     return out_image, pretty_json(meta)
 
 
-def build_ui(txt2img_pipe: Any, img2img_pipe: Any) -> gr.Blocks:
+def build_ui(txt2img_pipes: dict, img2img_pipes: dict) -> gr.Blocks:
     """Build the entire Gradio UI."""
     with gr.Blocks() as demo:
         gr.Markdown(
@@ -155,12 +168,29 @@ def build_ui(txt2img_pipe: Any, img2img_pipe: Any) -> gr.Blocks:
             Diffusion toolkit."
         )
 
-        txt_controls: Txt2ImgControls = build_txt2img_tab(
-            handler=lambda *args: _txt2img_handler(txt2img_pipe, *args),
+        model_choice = gr.Dropdown(
+            choices=[
+                "SD1.5",
+                "Turbo",
+            ],
+            value="SD1.5",
+            label="Model",
         )
 
-        img_controls: Img2ImgControls = build_img2img_tab(
-            handler=lambda *args: _img2img_handler(img2img_pipe, *args),
+        txt_controls = build_txt2img_tab(
+            handler=lambda model_name, *args: _txt2img_handler(
+                model_name,
+                txt2img_pipes,
+                *args,
+            ),
+        )
+
+        img_controls = build_img2img_tab(
+            handler=lambda model_name, *args: _img2img_handler(
+                model_name,
+                img2img_pipes,
+                *args,
+            ),
         )
 
         build_upscaler_tab(
@@ -174,11 +204,25 @@ def build_ui(txt2img_pipe: Any, img2img_pipe: Any) -> gr.Blocks:
 
         build_history_tab()
 
+        model_choice.change(
+            fn=_update_steps,
+            inputs=[model_choice],
+            outputs=[txt_controls.steps],
+        )
+        model_choice.change(
+            fn=_update_steps,
+            inputs=[model_choice],
+            outputs=[img_controls.steps],
+        )
+
         gr.Markdown(
             "### Notes\n"
-            "- Seeds left blank will be randomized.\n"
-            "- Use **History → Refresh History** if new thumbnails do not appear.\n"
-            "- Presets apply to both **Text → Image** and **Image → Image** tabs.\n"
+            "- Use **History → Refresh** if new entries do not appear.\n"
+            "- Presets apply to both **Text → Image** and \
+ **Image → Image** tabs.\n"
+            "- Inference speed will be much faster on GPU \
+(This app is hosted on CPU based HF Spaces).\n"
+            "- Use Turbo model if you prefer speed over performance."
         )
 
     return demo

src/sdgen/ui/tabs/history_tab.py

@@ -7,7 +7,7 @@ from typing import Any, Dict, List, Optional, Tuple
 import gradio as gr
 from PIL import Image
 
-from sdgen.utils.common import pretty_json, short_prompt
+from sdgen.utils.common import short_prompt
 from sdgen.utils.history import (
     delete_history_entry,
     list_history,
@@ -64,8 +64,7 @@ def load_from_dropdown(selected_label: str, entries: List[Dict[str, Any]]):
     thumb_path = data.get("thumbnail")
     img = Image.open(thumb_path) if thumb_path else None
 
-    # pretty_json returns string → JSON component will parse it
-    return img, pretty_json(data)
+    return img, data
 
 
 def refresh_history():
@@ -79,7 +78,7 @@ def refresh_history():
     else:
         dd = gr.update(choices=[], value=None)
 
-    return dd, entries, None, ""
+    return dd, entries, None, {}
 
 
 def delete_entry(selected_label: str, entries: List[Dict[str, Any]]):
@@ -102,7 +101,7 @@ def delete_entry(selected_label: str, entries: List[Dict[str, Any]]):
     else:
         dd = gr.update(choices=[], value=None)
 
-    return None, "", dd, new_entries
+    return None, {}, dd, new_entries
 
 
 # UI

src/sdgen/ui/tabs/img2img_tab.py

@@ -65,12 +65,14 @@ def build_img2img_tab(handler: Callable[..., Tuple[Any, dict]]) -> Img2ImgContro
 
                 steps = gr.Slider(
                     minimum=10,
-                    maximum=50,
-                    value=25,
+                    maximum=30,
+                    value=20,
                     step=1,
                     label="Steps",
                 )
-
+                gr.Markdown(
+                    "More steps → finer detail, slower runtime.",
+                )
                 guidance = gr.Slider(
                     minimum=1,
                     maximum=15,
@@ -78,6 +80,10 @@ def build_img2img_tab(handler: Callable[..., Tuple[Any, dict]]) -> Img2ImgContro
                     step=0.5,
                     label="Guidance Scale",
                 )
+                gr.Markdown(
+                    "Higher values make generation match \
+the prompt more strictly. "
+                )
 
                 seed = gr.Textbox(
                     label="Seed",

src/sdgen/ui/tabs/presets_tab.py

@@ -34,17 +34,6 @@ def apply_preset(preset_name: Any) -> Tuple[Any, ...]:
     prompt = preset.get("prompt", "")
     negative = preset.get("negative_prompt", "")
 
-    steps = int(preset.get("steps", 30))
-    guidance = float(preset.get("guidance_scale", 7.5))
-    width = int(preset.get("width", 512))
-    height = int(preset.get("height", 512))
-
-    # For Img2Img:
-    img_steps = max(10, steps)
-    img_guidance = guidance
-    img_strength = 0.6  # neutral default
-    img_seed = ""
-
     # only return data; UI wiring chooses what to set
     status_msg = f"Applied preset: {preset_name}"
 
@@ -52,17 +41,9 @@ def apply_preset(preset_name: Any) -> Tuple[Any, ...]:
         # txt2img
         prompt,
         negative,
-        steps,
-        guidance,
-        width,
-        height,
         # img2img
         prompt,
         negative,
-        img_steps,
-        img_guidance,
-        img_strength,
-        img_seed,
         # status
         status_msg,
     )
@@ -102,17 +83,9 @@ def build_presets_tab(
                 # txt2img
                 txt_controls.prompt,
                 txt_controls.negative,
-                txt_controls.steps,
-                txt_controls.guidance,
-                txt_controls.width,
-                txt_controls.height,
                 # img2img
                 img_controls.prompt,
                 img_controls.negative,
-                img_controls.steps,
-                img_controls.guidance,
-                img_controls.strength,
-                img_controls.seed,
                 # status markdown
                 status_box,
             ],

src/sdgen/ui/tabs/txt2img_tab.py

@@ -47,13 +47,13 @@ def build_txt2img_tab(handler: Callable[..., Tuple]) -> Txt2ImgControls:
 
                 steps = gr.Slider(
                     minimum=10,
-                    maximum=50,
-                    value=30,
+                    maximum=30,
+                    value=20,
                     step=1,
                     label="Steps",
                 )
                 gr.Markdown(
-                    "More steps → finer detail, slower runtime. 20–40 is typical.",
+                    "More steps → finer detail, slower runtime.",
                 )
 
                 guidance = gr.Slider(
@@ -64,8 +64,8 @@ def build_txt2img_tab(handler: Callable[..., Tuple]) -> Txt2ImgControls:
                     label="Guidance Scale (CFG)",
                 )
                 gr.Markdown(
-                    "Higher values make generation match the prompt more strictly. "
-                    "7–9 is a common range.",
+                    "Higher values make generation match \
+the prompt more strictly. "
                 )
 
                 width = gr.Slider(