From 72fa17df48ad1832777f2c0d18c16e97b227cc63 Mon Sep 17 00:00:00 2001 From: Pierre Chapuis Date: Tue, 5 Mar 2024 16:52:21 +0100 Subject: [PATCH] fix slider loras test --- tests/e2e/test_diffusion.py | 16 ++++++++++------ .../expected_sdxl_multi_loras.png | Bin 1799159 -> 1877565 bytes 2 files changed, 10 insertions(+), 6 deletions(-) diff --git a/tests/e2e/test_diffusion.py b/tests/e2e/test_diffusion.py index c98060c..c4831f8 100644 --- a/tests/e2e/test_diffusion.py +++ b/tests/e2e/test_diffusion.py @@ -1430,14 +1430,18 @@ def test_diffusion_sdxl_multiple_loras( ) -> None: sdxl = sdxl_ddim expected_image = expected_sdxl_multi_loras - _, dpo = lora_data_dpo - loras, scales = lora_sliders - loras["dpo"] = dpo + _, dpo_weights = lora_data_dpo + slider_loras, slider_scales = lora_sliders manager = SDLoraManager(sdxl) - for lora_name, lora_weights in loras.items(): - manager.add_loras(lora_name, lora_weights, scales[lora_name]) - manager.add_loras("dpo", dpo, 1.4) + for lora_name, lora_weights in slider_loras.items(): + manager.add_loras( + lora_name, + lora_weights, + slider_scales[lora_name], + unet_inclusions=["SelfAttention", "ResidualBlock", "Downsample", "Upsample"], + ) + manager.add_loras("dpo", dpo_weights, 1.4, unet_inclusions=["CrossAttentionBlock"]) # parameters are the same as https://huggingface.co/radames/sdxl-DPO-LoRA # except that we are using DDIM instead of sde-dpmsolver++ diff --git a/tests/e2e/test_diffusion_ref/expected_sdxl_multi_loras.png b/tests/e2e/test_diffusion_ref/expected_sdxl_multi_loras.png index 42d63612829bd1b4222a78d9020b5d4042080bb6..bc1930ab9bd0b2b219c8e9122d9d1e229b62c2ce 100644 GIT binary patch literal 1877565 zcmV)PK()V#P)*cIaQDTB5PKtM4id;MVn?_yUlIO& z-&($${Nw-a{~ie?fPjP$AQTV*5DYP^cPR^oWw&09C($5CANVwAOY6N&%o~Np*C7RC&tc)2f-c zW~^YR5CVvV62#&>r~v>7Bd9UA1FdXZ z{G@UNSR0G7g9t!#7b*P*S8s~`thvG3IId1n*q^K!Yt<`21X?r#R%2cCrDzxC=c#-W zpy~@E7NblFVCg@lpX3dsJ)`)Z5CR0tHs$A1N@i&qhyHvroDVO@gX=h0s5Fj) 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