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https://github.com/invoke-ai/InvokeAI
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Merge branch 'main' into deps_upgrade_compel
This commit is contained in:
commit
20414ba4ad
@ -154,6 +154,7 @@ class InvokeAIGenerator(metaclass=ABCMeta):
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for i in iteration_count:
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for i in iteration_count:
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results = generator.generate(prompt,
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results = generator.generate(prompt,
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conditioning=(uc, c, extra_conditioning_info),
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conditioning=(uc, c, extra_conditioning_info),
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step_callback=step_callback,
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sampler=scheduler,
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sampler=scheduler,
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**generator_args,
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**generator_args,
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)
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)
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@ -362,6 +362,7 @@ class ModelManager(object):
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raise NotImplementedError(
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raise NotImplementedError(
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f"Unknown model format {model_name}: {model_format}"
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f"Unknown model format {model_name}: {model_format}"
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)
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)
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self._add_embeddings_to_model(model)
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# usage statistics
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# usage statistics
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toc = time.time()
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toc = time.time()
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@ -436,7 +437,6 @@ class ModelManager(object):
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height = width
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height = width
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print(f" | Default image dimensions = {width} x {height}")
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print(f" | Default image dimensions = {width} x {height}")
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self._add_embeddings_to_model(pipeline)
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return pipeline, width, height, model_hash
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return pipeline, width, height, model_hash
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@ -6,7 +6,6 @@ The interface is through the Concepts() object.
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"""
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"""
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import os
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import os
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import re
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import re
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import traceback
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from typing import Callable
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from typing import Callable
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from urllib import error as ul_error
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from urllib import error as ul_error
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from urllib import request
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from urllib import request
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@ -15,7 +14,6 @@ from huggingface_hub import (
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HfApi,
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HfApi,
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HfFolder,
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HfFolder,
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ModelFilter,
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ModelFilter,
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ModelSearchArguments,
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hf_hub_url,
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hf_hub_url,
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)
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)
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@ -84,7 +82,7 @@ class HuggingFaceConceptsLibrary(object):
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"""
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"""
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if not concept_name in self.list_concepts():
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if not concept_name in self.list_concepts():
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print(
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print(
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f"This concept is not a local embedding trigger, nor is it a HuggingFace concept. Generation will continue without the concept."
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f"{concept_name} is not a local embedding trigger, nor is it a HuggingFace concept. Generation will continue without the concept."
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)
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)
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return None
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return None
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return self.get_concept_file(concept_name.lower(), "learned_embeds.bin")
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return self.get_concept_file(concept_name.lower(), "learned_embeds.bin")
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@ -236,7 +234,7 @@ class HuggingFaceConceptsLibrary(object):
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except ul_error.HTTPError as e:
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except ul_error.HTTPError as e:
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if e.code == 404:
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if e.code == 404:
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print(
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print(
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f"This concept is not known to the Hugging Face library. Generation will continue without the concept."
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f"Concept {concept_name} is not known to the Hugging Face library. Generation will continue without the concept."
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)
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)
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else:
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else:
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print(
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print(
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@ -246,7 +244,7 @@ class HuggingFaceConceptsLibrary(object):
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return False
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return False
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except ul_error.URLError as e:
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except ul_error.URLError as e:
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print(
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print(
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f"ERROR: {str(e)}. This may reflect a network issue. Generation will continue without the concept."
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f"ERROR while downloading {concept_name}: {str(e)}. This may reflect a network issue. Generation will continue without the concept."
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)
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)
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os.rmdir(dest)
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os.rmdir(dest)
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return False
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return False
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