fix qwen image

ui/src/app/api/hf-jobs/route.ts

@@ -611,7 +611,7 @@ def generate_model_card_readme(repo_id: str, config: dict, model_name: str, cura
         lower_model_name = (model_config.get("name_or_path", "") or "").lower()
         base_model_lower = (base_model or "").lower()
 
-        instruction_arches = {'flux_kontext', 'hidream_e1', 'qwen_image_edit'}
+        instruction_arches = {'flux_kontext', 'hidream_e1', 'qwen_image_edit', 'qwen_image_edit_plus'}
         is_instruction = lower_arch in instruction_arches or 'kontext' in lower_model_name
         is_edit_model = (
             'edit' in lower_arch

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

@@ -322,7 +322,7 @@ export const modelArchs: ModelArch[] = [
       'config.process[0].train.lr': [0.0003, 0.0001],
     },
     disableSections: ['network.conv'],
-    additionalSections: ['datasets.control_path', 'sample.ctrl_img', 'model.low_vram'],
+    additionalSections: ['model.low_vram'],
     accuracyRecoveryAdapters: {
       '3 bit with ARA': 'uint3|ostris/accuracy_recovery_adapters/qwen_image_torchao_uint3.safetensors',
     },

ui/src/components/HFJobsWorkflow.tsx

@@ -24,7 +24,12 @@ type DatasetUploadPlan = {
 
 const ensurePosixPath = (value: string) => value.replace(/\\/g, '/').replace(/^\/+/, '');
 
-const INSTRUCTION_ARCHES = new Set(['flux_kontext', 'hidream_e1', 'qwen_image_edit']);
+const INSTRUCTION_ARCHES = new Set([
+  'flux_kontext',
+  'hidream_e1',
+  'qwen_image_edit',
+  'qwen_image_edit_plus',
+]);
 
 const buildDatasetUploadPlan = (jobConfig: JobConfig): DatasetUploadPlan => {
   const datasetEntries = jobConfig?.config?.process?.[0]?.datasets ?? [];