Split normal/HR steps into two LatentImage/KSampler prompt entries

src/lib/ComfyBoxStdPrompt.ts

@@ -39,17 +39,16 @@ const GroupKSampler = z.object({
     sampler_name: z.string(),
     scheduler: z.string(),
     denoise: z.number().default(1.0)
+    type: z.enum(["empty", "image", "upscale"]).optional()
 })
 export type ComfyBoxStdGroupKSampler = z.infer<typeof GroupKSampler>
 
 const GroupLatentImage = z.object({
     width: z.number(),
     height: z.number(),
-    type: z.enum(["empty", "image", "image_upscale"]).optional(),
+    type: z.enum(["empty", "image", "upscale"]).optional(),
     upscale_method: z.string().optional(),
     upscale_by: z.number().optional(),
-    upscale_width: z.number().optional(),
-    upscale_height: z.number().optional(),
     crop: z.string().optional(),
     mask_blur: z.number().optional(),
     batch_count: z.number().default(1).optional(),

src/lib/convertA1111ToStdPrompt.ts

@@ -35,7 +35,9 @@ export default function convertA1111ToStdPrompt(infotext: A1111ParsedInfotext):
 
     const hrUp = popOpt("hires upscale");
     const hrSz = popOpt("hires resize");
+    let hrScaleBy = hrUp ? parseFloat(hrUp) : undefined;
     let hrMethod = popOpt("hires upscaler");
+    let hrSteps = popOpt("hires steps");
     let hrWidth = undefined
     let hrHeight = undefined
     if (hrSz) {
@@ -51,10 +53,7 @@ export default function convertA1111ToStdPrompt(infotext: A1111ParsedInfotext):
     const latent_image: ComfyBoxStdGroupLatentImage = {
         width: infotext.width,
         height: infotext.height,
-        upscale_method: hrMethod,
+        // type: "empty", // detect txt2img???
-        upscale_by: hrUp ? parseFloat(hrUp) : undefined,
-        upscale_width: hrWidth,
-        upscale_height: hrHeight,
         batch_count: infotext.batchSize,
         batch_pos: infotext.batchPos,
     }
@@ -65,18 +64,54 @@ export default function convertA1111ToStdPrompt(infotext: A1111ParsedInfotext):
 
     parameters.latent_image = [latent_image];
 
+    if (hrMethod != null) {
+        let uw, uh;
+        if (hrScaleBy) {
+            uw = infotext.width * hrScaleBy;
+            uh = infotext.height * hrScaleBy;
+        } else {
+            if (hrWidth == null || hrHeight == null)
+                throw new Error("Highres prompt didn't have width/height!")
+            uw = +hrWidth;
+            uh = +hrHeight;
+        }
+        const hr_image: ComfyBoxStdGroupLatentImage = {
+            type: "upscale",
+            width: uw,
+            height: uh,
+            upscale_by: hrScaleBy,
+            batch_count: infotext.batchSize,
+            batch_pos: infotext.batchPos,
+            upscale_method: hrMethod
+        }
+        parameters.latent_image.push(hr_image)
+    }
+
     const [sampler_name, scheduler] = getSamplerAndScheduler(infotext.sampler)
 
     const k_sampler: ComfyBoxStdGroupKSampler = {
         steps: infotext.steps,
         seed: infotext.seed,
         cfg_scale: infotext.cfgScale,
-        denoise: infotext.denoise || 1.0,
+        denoise: hrMethod != null ? 1.0 : infotext.denoise || 1.0, // detect img2img???
         sampler_name,
         scheduler,
     }
     parameters.k_sampler = [k_sampler];
 
+    if (hrMethod != null) {
+        const k_sampler_hr: ComfyBoxStdGroupKSampler = {
+            type: "upscale",
+            steps: hrSteps != null ? parseInt(hrSteps) : infotext.steps,
+            seed: infotext.seed,
+            cfg_scale: infotext.cfgScale,
+            denoise: infotext.denoise || 1.0,
+            sampler_name,
+            scheduler,
+        }
+        parameters.k_sampler.push(k_sampler_hr)
+    }
+
     if (infotext.modelHash || infotext.modelName) {
         const checkpoint: ComfyBoxStdGroupCheckpoint = {
             model_name: infotext.modelName,

src/tests/convertA1111ToStdPromptTests.ts

@@ -124,15 +124,27 @@ export default class convertA1111ToStdPromptTests extends UnitTest {
                     }],
                     k_sampler: [{
                         cfg_scale: 12,
-                        denoise: 0.55,
+                        denoise: 1,
                         sampler_name: "dpmpp_2m",
                         scheduler: "karras",
                         seed: 2416682767,
                         steps: 40
+                    }, {
+                        type: "upscale",
+                        cfg_scale: 12,
+                        denoise: 0.55,
+                        sampler_name: "dpmpp_2m",
+                        scheduler: "karras",
+                        seed: 2416682767,
+                        steps: 20
                     }],
                     latent_image: [{
                         width: 640,
                         height: 512,
+                    }, {
+                        type: "upscale",
+                        width: 1280,
+                        height: 1024,
                         upscale_by: 2,
                         upscale_method: "Latent"
                     }]