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https://github.com/invoke-ai/InvokeAI
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use variant instead of revision
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@ -419,18 +419,24 @@ class ModelInstall(object):
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"""
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_, name = repo_id.split("/")
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precision = torch_dtype(choose_torch_device())
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revisions = ["fp16", "main"] if precision == torch.float16 else ["main"]
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variants = ["fp16",None] if precision == torch.float16 else [None,"fp16"]
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model = None
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for revision in revisions:
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for variant in variants:
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try:
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model = DiffusionPipeline.from_pretrained(
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repo_id, revision=revision, safety_checker=None, torch_dtype=precision
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repo_id,
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variant=variant,
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torch_dtype=precision,
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safety_checker=None,
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)
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except Exception as e: # most errors are due to fp16 not being present. Fix this to catch other errors
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if "fp16" not in str(e):
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print(e)
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if model:
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break
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if not model:
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logger.error(f"Diffusers model {repo_id} could not be downloaded. Skipping.")
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return None
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