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@ -1,5 +1,7 @@ |
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import comfy.sd |
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import comfy.sd |
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import comfy.utils |
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import comfy.utils |
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import comfy.model_base |
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import folder_paths |
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import folder_paths |
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import json |
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import json |
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import os |
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import os |
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@ -100,6 +102,31 @@ class CheckpointSave: |
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prompt_info = json.dumps(prompt) |
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prompt_info = json.dumps(prompt) |
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metadata = {"prompt": prompt_info} |
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metadata = {"prompt": prompt_info} |
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enable_modelspec = True |
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if isinstance(model.model, comfy.model_base.SDXL): |
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metadata["modelspec.architecture"] = "stable-diffusion-xl-v1-base" |
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elif isinstance(model.model, comfy.model_base.SDXLRefiner): |
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metadata["modelspec.architecture"] = "stable-diffusion-xl-v1-refiner" |
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else: |
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enable_modelspec = False |
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if enable_modelspec: |
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metadata["modelspec.sai_model_spec"] = "1.0.0" |
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metadata["modelspec.implementation"] = "sgm" |
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metadata["modelspec.title"] = "{} {}".format(filename, counter) |
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#TODO: |
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# "stable-diffusion-v1", "stable-diffusion-v1-inpainting", "stable-diffusion-v2-512", |
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# "stable-diffusion-v2-768-v", "stable-diffusion-v2-unclip-l", "stable-diffusion-v2-unclip-h", |
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# "v2-inpainting" |
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if model.model.model_type == comfy.model_base.ModelType.EPS: |
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metadata["modelspec.predict_key"] = "epsilon" |
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elif model.model.model_type == comfy.model_base.ModelType.V_PREDICTION: |
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metadata["modelspec.predict_key"] = "v" |
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if extra_pnginfo is not None: |
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if extra_pnginfo is not None: |
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for x in extra_pnginfo: |
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for x in extra_pnginfo: |
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metadata[x] = json.dumps(extra_pnginfo[x]) |
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metadata[x] = json.dumps(extra_pnginfo[x]) |
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