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https://github.com/mudler/LocalAI.git
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Ettore Di Giacinto
8dd91dde66
The sd_embed branch dropped negative_prompt for every pipeline, which discarded the user's negative prompt for Flux, where no negative embeds are produced. Only drop it when negative_prompt_embeds is present, and move the check to a helper that has unit tests. Assisted-by: Claude Code:claude-sonnet-5-5 Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
49 lines
1.6 KiB
Python
49 lines
1.6 KiB
Python
# SPDX-License-Identifier: MIT
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import unittest
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from backend.python.diffusers.load_options import (
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drop_negative_prompt_if_embedded,
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single_file_load_kwargs,
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)
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class SingleFileLoadKwargsTest(unittest.TestCase):
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def test_includes_original_config_for_single_file(self):
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self.assertEqual(
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single_file_load_kwargs("configs/v1-inference.yaml", True),
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{"original_config_file": "configs/v1-inference.yaml"},
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)
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def test_omits_original_config_for_pretrained_model(self):
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self.assertEqual(
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single_file_load_kwargs("configs/v1-inference.yaml", False),
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{},
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)
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def test_omits_empty_original_config(self):
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self.assertEqual(single_file_load_kwargs("", True), {})
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class DropNegativePromptTest(unittest.TestCase):
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def test_drops_negative_prompt_when_embeds_present(self):
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kwargs = {"negative_prompt": "blurry", "negative_prompt_embeds": object()}
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drop_negative_prompt_if_embedded(kwargs)
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self.assertNotIn("negative_prompt", kwargs)
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self.assertIn("negative_prompt_embeds", kwargs)
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def test_keeps_negative_prompt_without_embeds(self):
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kwargs = {"negative_prompt": "blurry", "prompt_embeds": object()}
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drop_negative_prompt_if_embedded(kwargs)
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self.assertEqual(kwargs["negative_prompt"], "blurry")
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def test_no_negative_prompt_is_fine(self):
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self.assertEqual(
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drop_negative_prompt_if_embedded({"negative_prompt_embeds": 1}),
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{"negative_prompt_embeds": 1},
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)
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if __name__ == "__main__":
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unittest.main()
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