openapi: add type enum to Workspace schema (cutover follow-up)

Cloud's Workspace runtime shape includes a 'type' field with enum
[personal, team] that vendor's Workspace was missing. Cloud handlers
reference the generated ingest.WorkspaceType Go enum.

Same kind of surgical addition as JobEntry.status / BillingStatus /
JobDetailResponse.status in this PR — adds cloud-runtime field to
existing vendor schema.

README.md

@@ -433,7 +433,7 @@ See also: [https://www.comfy.org/](https://www.comfy.org/)
 
 ## Frontend Development
 
-As of August 15, 2024, we have transitioned to a new frontend, which is now hosted in a separate repository: [ComfyUI Frontend](https://github.com/Comfy-Org/ComfyUI_frontend). The compiled JS files (from TS/Vue) are published to [pypi](https://pypi.org/project/comfyui-frontend-package) and installed as a dependency in ComfyUI.
+As of August 15, 2024, we have transitioned to a new frontend, which is now hosted in a separate repository: [ComfyUI Frontend](https://github.com/Comfy-Org/ComfyUI_frontend). This repository now hosts the compiled JS (from TS/Vue) under the `web/` directory.
 
 ### Reporting Issues and Requesting Features
 

comfy/ldm/modules/attention.py

@@ -741,12 +741,12 @@ optimized_attention = attention_basic
 if model_management.sage_attention_enabled():
     logging.info("Using sage attention")
     optimized_attention = attention_sage
-elif model_management.flash_attention_enabled():
-    logging.info("Using Flash Attention")
-    optimized_attention = attention_flash
 elif model_management.xformers_enabled():
     logging.info("Using xformers attention")
     optimized_attention = attention_xformers
+elif model_management.flash_attention_enabled():
+    logging.info("Using Flash Attention")
+    optimized_attention = attention_flash
 elif model_management.pytorch_attention_enabled():
     logging.info("Using pytorch attention")
     optimized_attention = attention_pytorch

comfy/samplers.py

@@ -265,6 +265,7 @@ def _calc_cond_batch(model: BaseModel, conds: list[list[dict]], x_in: torch.Tens
                 input_shape = [len(batch_amount) * first_shape[0]] + list(first_shape)[1:]
                 cond_shapes = collections.defaultdict(list)
                 for tt in batch_amount:
+                    cond = {k: v.size() for k, v in to_run[tt][0].conditioning.items()}
                     for k, v in to_run[tt][0].conditioning.items():
                         cond_shapes[k].append(v.size())
 

openapi.yaml

@@ -9585,9 +9585,16 @@ components:
           description: List of plan features
 
     BillingStatus:
-      type: string
+      type: object
       x-runtime: [cloud]
-      description: "[cloud-only] Overall billing/payment lifecycle status."
+      description: "[cloud-only] Overall billing and subscription status."
+      properties:
+        subscription:
+          $ref: "#/components/schemas/BillingSubscription"
+        balance:
+          $ref: "#/components/schemas/BillingBalance"
+        has_payment_method:
+          type: boolean
       enum:
         - awaiting_payment_method
         - pending_payment

requirements.txt

@@ -1,4 +1,4 @@
-comfyui-frontend-package==1.44.19
+comfyui-frontend-package==1.43.18
 comfyui-workflow-templates==0.9.82
 comfyui-embedded-docs==0.5.0
 torch