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test_style_aligned: switch to CLIP text batch API

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Added in #263
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Cédric Deltheil 2024-02-21 15:21:23 +00:00 committed by Cédric Deltheil
parent d199cd4f24
commit 446967859d
1 changed files with 3 additions and 23 deletions
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26
tests/e2e/test_diffusion.py
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@ -2283,29 +2283,9 @@ def test_style_aligned(
] ]
# create (context) embeddings from prompts # create (context) embeddings from prompts
# TODO: replace this logic with https://github.com/finegrain-ai/refiners/pull/263 when it gets merged clip_text_embedding, pooled_text_embedding = sdxl.compute_clip_text_embedding(
unconds: list[torch.Tensor] = [] text=set_of_prompts, negative_text=[""] * len(set_of_prompts)
conds: list[torch.Tensor] = [] )
pooled_unconds: list[torch.Tensor] = []
pooled_conds: list[torch.Tensor] = []
for prompt in set_of_prompts:
clip_text_embedding, pooled_text_embedding = sdxl.compute_clip_text_embedding(text=prompt)
uncond, cond = clip_text_embedding.chunk(2)
pooled_uncond, pooled_cond = pooled_text_embedding.chunk(2)
unconds.append(uncond)
conds.append(cond)
pooled_unconds.append(pooled_uncond)
pooled_conds.append(pooled_cond)
uncond = torch.cat(unconds, dim=0)
cond = torch.cat(conds, dim=0)
pooled_uncond = torch.cat(pooled_unconds, dim=0)
pooled_cond = torch.cat(pooled_conds, dim=0)
clip_text_embedding = torch.cat((uncond, cond), dim=0)
pooled_text_embedding = torch.cat((pooled_uncond, pooled_cond), dim=0)
time_ids = sdxl.default_time_ids.repeat(len(set_of_prompts), 1) time_ids = sdxl.default_time_ids.repeat(len(set_of_prompts), 1)