Made it easy to add control images to the samples in the UI

.gitignore

@@ -180,4 +180,5 @@ cython_debug/
 .DS_Store
 ._.DS_Store
 aitk_db.db
-/notes.md
+/notes.md
+/data

README.md

@@ -425,6 +425,9 @@ Everything else should work the same including layer targeting.
 
 Only larger updates are listed here. There are usually smaller daily updated that are omitted.
 
+### Jul 17, 2025
+- Make it easy to add control images to the samples in the ui
+
 ### Jul 11, 2025
 - Added better video config settings to the UI for video models.
 - Added Wan I2V training to the UI

ui/package-lock.json

@@ -24,6 +24,7 @@
         "react-icons": "^5.5.0",
         "react-select": "^5.10.1",
         "sqlite3": "^5.1.7",
+        "uuid": "^11.1.0",
         "yaml": "^2.7.0"
       },
       "devDependencies": {
@@ -5370,6 +5371,18 @@
       "resolved": "https://registry.npmjs.org/util-deprecate/-/util-deprecate-1.0.2.tgz",
       "integrity": "sha512-EPD5q1uXyFxJpCrLnCc1nHnq3gOa6DZBocAIiI2TaSCA7VCJ1UJDMagCzIkXNsUYfD1daK//LTEQ8xiIbrHtcw=="
     },
+    "node_modules/uuid": {
+      "version": "11.1.0",
+      "resolved": "https://registry.npmjs.org/uuid/-/uuid-11.1.0.tgz",
+      "integrity": "sha512-0/A9rDy9P7cJ+8w1c9WD9V//9Wj15Ce2MPz8Ri6032usz+NfePxx5AcN3bN+r6ZL6jEo066/yNYB3tn4pQEx+A==",
+      "funding": [
+        "https://github.com/sponsors/broofa",
+        "https://github.com/sponsors/ctavan"
+      ],
+      "bin": {
+        "uuid": "dist/esm/bin/uuid"
+      }
+    },
     "node_modules/v8-compile-cache-lib": {
       "version": "3.0.1",
       "resolved": "https://registry.npmjs.org/v8-compile-cache-lib/-/v8-compile-cache-lib-3.0.1.tgz",

ui/package.json

@@ -28,6 +28,7 @@
     "react-icons": "^5.5.0",
     "react-select": "^5.10.1",
     "sqlite3": "^5.1.7",
+    "uuid": "^11.1.0",
     "yaml": "^2.7.0"
   },
   "devDependencies": {

ui/src/app/api/img/[...imagePath]/route.ts

@@ -2,7 +2,7 @@
 import { NextRequest, NextResponse } from 'next/server';
 import fs from 'fs';
 import path from 'path';
-import { getDatasetsRoot, getTrainingFolder } from '@/server/settings';
+import { getDatasetsRoot, getTrainingFolder, getDataRoot } from '@/server/settings';
 
 export async function GET(request: NextRequest, { params }: { params: { imagePath: string } }) {
   const { imagePath } = await params;
@@ -13,8 +13,9 @@ export async function GET(request: NextRequest, { params }: { params: { imagePat
     // Get allowed directories
     const datasetRoot = await getDatasetsRoot();
     const trainingRoot = await getTrainingFolder();
+    const dataRoot = await getDataRoot();
 
-    const allowedDirs = [datasetRoot, trainingRoot];
+    const allowedDirs = [datasetRoot, trainingRoot, dataRoot];
 
     // Security check: Ensure path is in allowed directory
     const isAllowed = allowedDirs.some(allowedDir => filepath.startsWith(allowedDir)) && !filepath.includes('..');

ui/src/app/api/img/upload/route.ts

@@ -0,0 +1,58 @@
+// src/app/api/datasets/upload/route.ts
+import { NextRequest, NextResponse } from 'next/server';
+import { writeFile, mkdir } from 'fs/promises';
+import { join } from 'path';
+import { getDataRoot } from '@/server/settings';
+import {v4 as uuidv4} from 'uuid';
+
+export async function POST(request: NextRequest) {
+  try {
+    const dataRoot = await getDataRoot();
+    if (!dataRoot) {
+      return NextResponse.json({ error: 'Data root path not found' }, { status: 500 });
+    }
+    const imgRoot = join(dataRoot, 'images');
+
+
+    const formData = await request.formData();
+    const files = formData.getAll('files');
+
+    if (!files || files.length === 0) {
+      return NextResponse.json({ error: 'No files provided' }, { status: 400 });
+    }
+
+    // make it recursive if it doesn't exist
+    await mkdir(imgRoot, { recursive: true });
+    const savedFiles = await Promise.all(
+      files.map(async (file: any) => {
+        const bytes = await file.arrayBuffer();
+        const buffer = Buffer.from(bytes);
+
+        const extension = file.name.split('.').pop() || 'jpg';
+
+        // Clean filename and ensure it's unique
+        const fileName = `${uuidv4()}`; // Use UUID for unique file names
+        const filePath = join(imgRoot, `${fileName}.${extension}`);
+
+        await writeFile(filePath, buffer);
+        return filePath;
+      }),
+    );
+
+    return NextResponse.json({
+      message: 'Files uploaded successfully',
+      files: savedFiles,
+    });
+  } catch (error) {
+    console.error('Upload error:', error);
+    return NextResponse.json({ error: 'Error uploading files' }, { status: 500 });
+  }
+}
+
+// Increase payload size limit (default is 4mb)
+export const config = {
+  api: {
+    bodyParser: false,
+    responseLimit: '50mb',
+  },
+};

ui/src/app/jobs/new/AdvancedJob.tsx

@@ -5,6 +5,7 @@ import YAML from 'yaml';
 import Editor, { OnMount } from '@monaco-editor/react';
 import type { editor } from 'monaco-editor';
 import { Settings } from '@/hooks/useSettings';
+import { migrateJobConfig } from './jobConfig';
 
 type Props = {
   jobConfig: JobConfig;
@@ -115,6 +116,7 @@ export default function AdvancedJob({ jobConfig, setJobConfig, settings }: Props
         } catch (e) {
           console.warn(e);
         }
+        migrateJobConfig(parsed);
         setJobConfig(parsed);
       }
     } catch (e) {

ui/src/app/jobs/new/SimpleJob.tsx

@@ -7,6 +7,7 @@ import { objectCopy } from '@/utils/basic';
 import { TextInput, SelectInput, Checkbox, FormGroup, NumberInput } from '@/components/formInputs';
 import Card from '@/components/Card';
 import { X } from 'lucide-react';
+import AddSingleImageModal, { openAddImageModal } from '@/components/AddSingleImageModal';
 
 type Props = {
   jobConfig: JobConfig;
@@ -116,6 +117,17 @@ export default function SimpleJob({
                   return newDataset;
                 });
                 setJobConfig(datasets, 'config.process[0].datasets');
+
+                // update samples
+                const hasSampleCtrlImg = newArch?.additionalSections?.includes('sample.ctrl_img') || false;
+                const samples = jobConfig.config.process[0].sample.samples.map(sample => {
+                  const newSample = objectCopy(sample);
+                  if (!hasSampleCtrlImg) {
+                    delete newSample.ctrl_img; // remove ctrl_img if not applicable
+                  }
+                  return newSample;
+                });
+                setJobConfig(samples, 'config.process[0].sample.samples');
               }}
               options={groupedModelOptions}
             />
@@ -648,32 +660,58 @@ export default function SimpleJob({
                 </FormGroup>
               </div>
             </div>
-            <FormGroup label={`Sample Prompts (${jobConfig.config.process[0].sample.prompts.length})`} className="pt-2">
+            <FormGroup label={`Sample Prompts (${jobConfig.config.process[0].sample.samples.length})`} className="pt-2">
-              {modelArch?.additionalSections?.includes('sample.ctrl_img') && (
+              <div></div>
-                <div className="text-sm text-gray-100 mb-2 py-2 px-4 bg-yellow-700 rounded-lg">
+            </FormGroup>
-                  <p className="font-semibold mb-1">Control Images</p>
+            {jobConfig.config.process[0].sample.samples.map((sample, i) => (
-                  To use control images on samples, add --ctrl_img to the prompts below.
+              <div key={i} className="rounded-lg pl-4 pr-1 mb-4 bg-gray-950">
-                  <br />
+                <div className="flex items-center space-x-2">
-                  Example: <code className="bg-yellow-900 p-1">make this a cartoon --ctrl_img /path/to/image.png</code>
-                </div>
-              )}
-              {jobConfig.config.process[0].sample.prompts.map((prompt, i) => (
-                <div key={i} className="flex items-center space-x-2">
                   <div className="flex-1">
-                    <TextInput
+                    <div className="flex">
-                      value={prompt}
+                      <div className="flex-1">
-                      onChange={value => setJobConfig(value, `config.process[0].sample.prompts[${i}]`)}
+                        <TextInput
-                      placeholder="Enter prompt"
+                          label={`Prompt`}
-                      required
+                          value={sample.prompt}
-                    />
+                          onChange={value => setJobConfig(value, `config.process[0].sample.samples[${i}].prompt`)}
+                          placeholder="Enter prompt"
+                          required
+                        />
+                      </div>
+
+                      {modelArch?.additionalSections?.includes('sample.ctrl_img') && (
+                        <div
+                          className="h-14 w-14 mt-2 ml-4 border border-gray-500 flex items-center justify-center rounded cursor-pointer hover:bg-gray-700 transition-colors"
+                          style={{
+                            backgroundImage: sample.ctrl_img
+                              ? `url(${`/api/img/${encodeURIComponent(sample.ctrl_img)}`})`
+                              : 'none',
+                            backgroundSize: 'cover',
+                            backgroundPosition: 'center',
+                            marginBottom: '-1rem',
+                          }}
+                          onClick={() => {
+                            openAddImageModal(imagePath => {
+                              console.log('Selected image path:', imagePath);
+                              if (!imagePath) return;
+                              setJobConfig(imagePath, `config.process[0].sample.samples[${i}].ctrl_img`);
+                            });
+                          }}
+                        >
+                          {!sample.ctrl_img && (
+                            <div className="text-gray-400 text-xs text-center font-bold">Add Control Image</div>
+                          )}
+                        </div>
+                      )}
+                    </div>
+                    <div className="pb-4"></div>
                   </div>
                   <div>
                     <button
                       type="button"
                       onClick={() =>
                         setJobConfig(
-                          jobConfig.config.process[0].sample.prompts.filter((_, index) => index !== i),
+                          jobConfig.config.process[0].sample.samples.filter((_, index) => index !== i),
-                          'config.process[0].sample.prompts',
+                          'config.process[0].sample.samples',
                         )
                       }
                       className="rounded-full p-1 text-sm"
@@ -682,23 +720,27 @@ export default function SimpleJob({
                     </button>
                   </div>
                 </div>
-              ))}
+              </div>
-              <button
+            ))}
-                type="button"
+            <button
-                onClick={() =>
+              type="button"
-                  setJobConfig([...jobConfig.config.process[0].sample.prompts, ''], 'config.process[0].sample.prompts')
+              onClick={() =>
-                }
+                setJobConfig(
-                className="w-full px-4 py-2 bg-gray-700 hover:bg-gray-600 rounded-lg transition-colors"
+                  [...jobConfig.config.process[0].sample.samples, { prompt: '' }],
-              >
+                  'config.process[0].sample.samples',
-                Add Prompt
+                )
-              </button>
+              }
-            </FormGroup>
+              className="w-full px-4 py-2 bg-gray-700 hover:bg-gray-600 rounded-lg transition-colors"
+            >
+              Add Prompt
+            </button>
           </Card>
         </div>
 
         {status === 'success' && <p className="text-green-500 text-center">Training saved successfully!</p>}
         {status === 'error' && <p className="text-red-500 text-center">Error saving training. Please try again.</p>}
       </form>
+      <AddSingleImageModal />
     </>
   );
 }

ui/src/app/jobs/new/jobConfig.ts

@@ -90,17 +90,37 @@ export const defaultJobConfig: JobConfig = {
           sample_every: 250,
           width: 1024,
           height: 1024,
-          prompts: [
+          samples: [
-            'woman with red hair, playing chess at the park, bomb going off in the background',
+            {
-            'a woman holding a coffee cup, in a beanie, sitting at a cafe',
+              prompt: 'woman with red hair, playing chess at the park, bomb going off in the background'
-            'a horse is a DJ at a night club, fish eye lens, smoke machine, lazer lights, holding a martini',
+            },
-            'a man showing off his cool new t shirt at the beach, a shark is jumping out of the water in the background',
+            {
-            'a bear building a log cabin in the snow covered mountains',
+              prompt: 'a woman holding a coffee cup, in a beanie, sitting at a cafe',
-            'woman playing the guitar, on stage, singing a song, laser lights, punk rocker',
+            },
-            'hipster man with a beard, building a chair, in a wood shop',
+            {
-            'photo of a man, white background, medium shot, modeling clothing, studio lighting, white backdrop',
+              prompt: 'a horse is a DJ at a night club, fish eye lens, smoke machine, lazer lights, holding a martini',
-            "a man holding a sign that says, 'this is a sign'",
+            },
-            'a bulldog, in a post apocalyptic world, with a shotgun, in a leather jacket, in a desert, with a motorcycle',
+            {
+              prompt: 'a man showing off his cool new t shirt at the beach, a shark is jumping out of the water in the background',
+            },
+            {
+              prompt: 'a bear building a log cabin in the snow covered mountains',
+            },
+            {
+              prompt: 'woman playing the guitar, on stage, singing a song, laser lights, punk rocker',
+            },
+            {
+              prompt: 'hipster man with a beard, building a chair, in a wood shop',
+            },
+            {
+              prompt: 'photo of a man, white background, medium shot, modeling clothing, studio lighting, white backdrop',
+            },
+            {
+              prompt: "a man holding a sign that says, 'this is a sign'",
+            },
+            {
+              prompt: 'a bulldog, in a post apocalyptic world, with a shotgun, in a leather jacket, in a desert, with a motorcycle',
+            },
           ],
           neg: '',
           seed: 42,
@@ -118,3 +138,23 @@ export const defaultJobConfig: JobConfig = {
     version: '1.0',
   },
 };
+
+export const migrateJobConfig = (jobConfig: JobConfig): JobConfig => {
+  // upgrade prompt strings to samples
+  if (
+    jobConfig?.config?.process &&
+    jobConfig.config.process[0]?.sample &&
+    Array.isArray(jobConfig.config.process[0].sample.prompts) &&
+    jobConfig.config.process[0].sample.prompts.length > 0
+  ) {
+    let newSamples = [];
+    for (const prompt of jobConfig.config.process[0].sample.prompts) {
+      newSamples.push({
+        prompt: prompt,
+      });
+    }
+    jobConfig.config.process[0].sample.samples = newSamples;
+    delete jobConfig.config.process[0].sample.prompts;
+  }
+  return jobConfig;
+};

ui/src/app/jobs/new/page.tsx

@@ -2,11 +2,11 @@
 
 import { useEffect, useState } from 'react';
 import { useSearchParams, useRouter } from 'next/navigation';
-import { defaultJobConfig, defaultDatasetConfig } from './jobConfig';
+import { defaultJobConfig, defaultDatasetConfig, migrateJobConfig } from './jobConfig';
 import { JobConfig } from '@/types';
 import { objectCopy } from '@/utils/basic';
 import { useNestedState } from '@/utils/hooks';
-import { SelectInput} from '@/components/formInputs';
+import { SelectInput } from '@/components/formInputs';
 import useSettings from '@/hooks/useSettings';
 import useGPUInfo from '@/hooks/useGPUInfo';
 import useDatasetList from '@/hooks/useDatasetList';
@@ -61,7 +61,7 @@ export default function TrainingForm() {
         .then(data => {
           console.log('Training:', data);
           setGpuIDs(data.gpu_ids);
-          setJobConfig(JSON.parse(data.job_config));
+          setJobConfig(migrateJobConfig(JSON.parse(data.job_config)));
         })
         .catch(error => console.error('Error fetching training:', error));
     }
@@ -181,11 +181,13 @@ export default function TrainingForm() {
         </div>
       ) : (
         <MainContent>
-          <ErrorBoundary fallback={
+          <ErrorBoundary
-            <div className="flex items-center justify-center h-64 text-lg text-red-600 font-medium bg-red-100 dark:bg-red-900/20 dark:text-red-400 border border-red-300 dark:border-red-700 rounded-lg">
+            fallback={
-              Advanced job detected. Please switch to advanced view to continue.
+              <div className="flex items-center justify-center h-64 text-lg text-red-600 font-medium bg-red-100 dark:bg-red-900/20 dark:text-red-400 border border-red-300 dark:border-red-700 rounded-lg">
-            </div>
+                Advanced job detected. Please switch to advanced view to continue.
-          }>
+              </div>
+            }
+          >
             <SimpleJob
               jobConfig={jobConfig}
               setJobConfig={setJobConfig}
@@ -204,4 +206,4 @@ export default function TrainingForm() {
       )}
     </>
   );
-}
+}

ui/src/components/AddSingleImageModal.tsx

@@ -0,0 +1,141 @@
+'use client';
+import { createGlobalState } from 'react-global-hooks';
+import { Dialog, DialogBackdrop, DialogPanel, DialogTitle } from '@headlessui/react';
+import { FaUpload } from 'react-icons/fa';
+import { useCallback, useState } from 'react';
+import { useDropzone } from 'react-dropzone';
+import { apiClient } from '@/utils/api';
+
+export interface AddSingleImageModalState {
+
+  onComplete?: (imagePath: string|null) => void;
+}
+
+export const addSingleImageModalState = createGlobalState<AddSingleImageModalState | null>(null);
+
+export const openAddImageModal = (onComplete: (imagePath: string|null) => void) => {
+  addSingleImageModalState.set({onComplete });
+};
+
+export default function AddSingleImageModal() {
+  const [addSingleImageModalInfo, setAddSingleImageModalInfo] = addSingleImageModalState.use();
+  const [uploadProgress, setUploadProgress] = useState<number>(0);
+  const [isUploading, setIsUploading] = useState<boolean>(false);
+  const open = addSingleImageModalInfo !== null;
+
+  const onCancel = () => {
+    if (!isUploading) {
+      setAddSingleImageModalInfo(null);
+    }
+  };
+
+  const onDone = (imagePath: string|null) => {
+    if (addSingleImageModalInfo?.onComplete && !isUploading) {
+      addSingleImageModalInfo.onComplete(imagePath);
+      setAddSingleImageModalInfo(null);
+    }
+  };
+
+  const onDrop = useCallback(
+    async (acceptedFiles: File[]) => {
+      if (acceptedFiles.length === 0) return;
+
+      setIsUploading(true);
+      setUploadProgress(0);
+
+      const formData = new FormData();
+      acceptedFiles.forEach(file => {
+        formData.append('files', file);
+      });
+
+      try {
+        const resp = await apiClient.post(`/api/img/upload`, formData, {
+          headers: {
+            'Content-Type': 'multipart/form-data',
+          },
+          onUploadProgress: progressEvent => {
+            const percentCompleted = Math.round((progressEvent.loaded * 100) / (progressEvent.total || 100));
+            setUploadProgress(percentCompleted);
+          },
+          timeout: 0, // Disable timeout
+        });
+        console.log('Upload successful:', resp.data);
+
+        onDone(resp.data.files[0] || null);
+      } catch (error) {
+        console.error('Upload failed:', error);
+      } finally {
+        setIsUploading(false);
+        setUploadProgress(0);
+      }
+    },
+    [addSingleImageModalInfo],
+  );
+
+  const { getRootProps, getInputProps, isDragActive } = useDropzone({
+    onDrop,
+    accept: {
+      'image/*': ['.png', '.jpg', '.jpeg', '.gif', '.bmp', '.webp'],
+    },
+    multiple: false,
+  });
+
+  return (
+    <Dialog open={open} onClose={onCancel} className="relative z-10">
+      <DialogBackdrop
+        transition
+        className="fixed inset-0 bg-gray-900/75 transition-opacity data-closed:opacity-0 data-enter:duration-300 data-enter:ease-out data-leave:duration-200 data-leave:ease-in"
+      />
+
+      <div className="fixed inset-0 z-10 w-screen overflow-y-auto">
+        <div className="flex min-h-full items-end justify-center p-4 text-center sm:items-center sm:p-0">
+          <DialogPanel
+            transition
+            className="relative transform overflow-hidden rounded-lg bg-gray-800 text-left shadow-xl transition-all data-closed:translate-y-4 data-closed:opacity-0 data-enter:duration-300 data-enter:ease-out data-leave:duration-200 data-leave:ease-in sm:my-8 sm:w-full sm:max-w-lg data-closed:sm:translate-y-0 data-closed:sm:scale-95"
+          >
+            <div className="bg-gray-800 px-4 pt-5 pb-4 sm:p-6 sm:pb-4">
+              <div className="text-center">
+                <DialogTitle as="h3" className="text-base font-semibold text-gray-200 mb-4">
+                  Add Control Image
+                </DialogTitle>
+                <div className="w-full">
+                  <div
+                    {...getRootProps()}
+                    className={`h-40 w-full flex flex-col items-center justify-center border-2 border-dashed rounded-lg cursor-pointer transition-colors duration-200
+                      ${isDragActive ? 'border-blue-500 bg-blue-50/10' : 'border-gray-600'}`}
+                  >
+                    <input {...getInputProps()} />
+                    <FaUpload className="size-8 mb-3 text-gray-400" />
+                    <p className="text-sm text-gray-200 text-center">
+                      {isDragActive ? 'Drop the image here...' : 'Drag & drop an image here, or click to select one'}
+                    </p>
+                  </div>
+                  {isUploading && (
+                    <div className="mt-4">
+                      <div className="w-full bg-gray-700 rounded-full h-2.5">
+                        <div className="bg-blue-600 h-2.5 rounded-full" style={{ width: `${uploadProgress}%` }}></div>
+                      </div>
+                      <p className="text-sm text-gray-300 mt-2 text-center">Uploading... {uploadProgress}%</p>
+                    </div>
+                  )}
+                </div>
+              </div>
+            </div>
+            <div className="bg-gray-700 px-4 py-3 sm:flex sm:flex-row-reverse sm:px-6">
+              <button
+                type="button"
+                data-autofocus
+                onClick={onCancel}
+                disabled={isUploading}
+                className={`mt-3 inline-flex w-full justify-center rounded-md bg-gray-800 px-3 py-2 text-sm font-semibold text-gray-200 hover:bg-gray-800 sm:mt-0 sm:w-auto ring-0
+                  ${isUploading ? 'opacity-50 cursor-not-allowed' : ''}`}
+              >
+                Cancel
+              </button>
+            </div>
+          </DialogPanel>
+        </div>
+      </div>
+    </Dialog>
+  );
+}

ui/src/components/SampleImages.tsx

@@ -14,7 +14,11 @@ export default function SampleImages({ job }: SampleImagesProps) {
     if (job?.job_config) {
       const jobConfig = JSON.parse(job.job_config) as JobConfig;
       const sampleConfig = jobConfig.config.process[0].sample;
-      return sampleConfig.prompts.length;
+      if (sampleConfig.prompts) {
+        return sampleConfig.prompts.length;
+      } else {
+        return sampleConfig.samples.length;
+      }
     }
     return 10;
   }, [job]);

ui/src/paths.ts

@@ -2,3 +2,4 @@ import path from 'path';
 export const TOOLKIT_ROOT = path.resolve('@', '..', '..');
 export const defaultTrainFolder = path.join(TOOLKIT_ROOT, 'output');
 export const defaultDatasetsFolder = path.join(TOOLKIT_ROOT, 'datasets');
+export const defaultDataRoot = path.join(TOOLKIT_ROOT, 'data');

ui/src/server/settings.ts

@@ -1,5 +1,5 @@
 import { PrismaClient } from '@prisma/client';
-import { defaultDatasetsFolder } from '@/paths';
+import { defaultDatasetsFolder, defaultDataRoot } from '@/paths';
 import { defaultTrainFolder } from '@/paths';
 import NodeCache from 'node-cache';
 
@@ -66,3 +66,22 @@ export const getHFToken = async () => {
   myCache.set(key, token);
   return token;
 };
+
+export const getDataRoot = async () => {
+  const key = 'DATA_ROOT';
+  let dataRoot = myCache.get(key) as string;
+  if (dataRoot) {
+    return dataRoot;
+  }
+  let row = await prisma.settings.findFirst({
+    where: {
+      key: key,
+    },
+  });
+  dataRoot = defaultDataRoot;
+  if (row?.value && row.value !== '') {
+    dataRoot = row.value;
+  }
+  myCache.set(key, dataRoot);
+  return dataRoot;
+};

ui/src/types.ts

@@ -133,12 +133,27 @@ export interface ModelConfig {
   model_kwargs: { [key: string]: any };
 }
 
+export interface SampleItem {
+  prompt: string;
+  width?: number
+  height?: number;
+  neg?: string;
+  seed?: number;
+  guidance_scale?: number;
+  sample_steps?: number;
+  fps?: number;
+  num_frames?: number;
+  ctrl_img?: string | null;
+  ctrl_idx?: number;
+}
+
 export interface SampleConfig {
   sampler: string;
   sample_every: number;
   width: number;
   height: number;
-  prompts: string[];
+  prompts?: string[];
+  samples: SampleItem[];
   neg: string;
   seed: number;
   walk_seed: boolean;

version.py

@@ -1 +1 @@
-VERSION = "0.3.7"
+VERSION = "0.3.8"