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matt/opena
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master
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@ -433,7 +433,7 @@ See also: [https://www.comfy.org/](https://www.comfy.org/)
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## Frontend Development
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## Frontend Development
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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.
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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.
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### Reporting Issues and Requesting Features
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### Reporting Issues and Requesting Features
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@ -741,12 +741,12 @@ optimized_attention = attention_basic
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if model_management.sage_attention_enabled():
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if model_management.sage_attention_enabled():
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logging.info("Using sage attention")
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logging.info("Using sage attention")
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optimized_attention = attention_sage
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optimized_attention = attention_sage
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elif model_management.xformers_enabled():
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logging.info("Using xformers attention")
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optimized_attention = attention_xformers
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elif model_management.flash_attention_enabled():
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elif model_management.flash_attention_enabled():
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logging.info("Using Flash Attention")
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logging.info("Using Flash Attention")
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optimized_attention = attention_flash
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optimized_attention = attention_flash
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elif model_management.xformers_enabled():
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logging.info("Using xformers attention")
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optimized_attention = attention_xformers
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elif model_management.pytorch_attention_enabled():
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elif model_management.pytorch_attention_enabled():
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logging.info("Using pytorch attention")
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logging.info("Using pytorch attention")
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optimized_attention = attention_pytorch
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optimized_attention = attention_pytorch
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@ -265,7 +265,6 @@ def _calc_cond_batch(model: BaseModel, conds: list[list[dict]], x_in: torch.Tens
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input_shape = [len(batch_amount) * first_shape[0]] + list(first_shape)[1:]
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input_shape = [len(batch_amount) * first_shape[0]] + list(first_shape)[1:]
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cond_shapes = collections.defaultdict(list)
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cond_shapes = collections.defaultdict(list)
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for tt in batch_amount:
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for tt in batch_amount:
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cond = {k: v.size() for k, v in to_run[tt][0].conditioning.items()}
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for k, v in to_run[tt][0].conditioning.items():
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for k, v in to_run[tt][0].conditioning.items():
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cond_shapes[k].append(v.size())
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cond_shapes[k].append(v.size())
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11
openapi.yaml
11
openapi.yaml
@ -9585,16 +9585,9 @@ components:
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description: List of plan features
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description: List of plan features
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BillingStatus:
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BillingStatus:
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type: object
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type: string
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x-runtime: [cloud]
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x-runtime: [cloud]
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description: "[cloud-only] Overall billing and subscription status."
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description: "[cloud-only] Overall billing/payment lifecycle status."
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properties:
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subscription:
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$ref: "#/components/schemas/BillingSubscription"
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balance:
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$ref: "#/components/schemas/BillingBalance"
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has_payment_method:
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type: boolean
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enum:
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enum:
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- awaiting_payment_method
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- awaiting_payment_method
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- pending_payment
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- pending_payment
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@ -1,4 +1,4 @@
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comfyui-frontend-package==1.43.18
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comfyui-frontend-package==1.44.19
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comfyui-workflow-templates==0.9.82
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comfyui-workflow-templates==0.9.82
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comfyui-embedded-docs==0.5.0
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comfyui-embedded-docs==0.5.0
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torch
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torch
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