Finegrain/refiners
1
0
Fork 0
mirror of https://github.com/finegrain-ai/refiners.git synced 2024-11-24 23:28:45 +00:00
Code Issues Actions Packages Projects Releases Wiki Activity

fix sdxl structural copy

Browse source
This commit is contained in:
Pierre Chapuis 2024-02-06 18:58:47 +01:00
parent ca9e89b22a
commit 11da76f7df
2 changed files with 20 additions and 3 deletions
Show stats Download patch file Download diff file Expand all files Collapse all files

13
src/refiners/foundationals/latent_diffusion/stable_diffusion_xl/text_encoder.py
View file

@ -84,3 +84,16 @@ class DoubleTextEncoder(fl.Chain):
text_embedding_g, pooled_text_embedding = text_embedding_with_pooling text_embedding_g, pooled_text_embedding = text_embedding_with_pooling
text_embedding = cat((text_embedding_l, text_embedding_g), dim=-1) text_embedding = cat((text_embedding_l, text_embedding_g), dim=-1)
return text_embedding, pooled_text_embedding return text_embedding, pooled_text_embedding
def structural_copy(self: "DoubleTextEncoder") -> "DoubleTextEncoder":
old_tep = self.ensure_find(TextEncoderWithPooling)
old_tep.eject()
copy = super().structural_copy()
old_tep.inject()
new_text_encoder_g = copy.ensure_find(CLIPTextEncoderG)
projection = old_tep.layer(("Parallel", "Chain", "Linear"), fl.Linear)
new_tep = TextEncoderWithPooling(target=new_text_encoder_g, projection=projection)
new_tep.inject(copy.layer("Parallel", fl.Parallel))
return copy

10
tests/e2e/test_diffusion.py
View file

@ -1590,10 +1590,14 @@ def test_diffusion_sdxl_ip_adapter_plus(
@no_grad() @no_grad()
def test_sdxl_random_init( @pytest.mark.parametrize("structural_copy", [False, True])
sdxl_ddim: StableDiffusion_XL, expected_sdxl_ddim_random_init: Image.Image, test_device: torch.device def test_diffusion_sdxl_random_init(
sdxl_ddim: StableDiffusion_XL,
expected_sdxl_ddim_random_init: Image.Image,
test_device: torch.device,
structural_copy: bool,
) -> None: ) -> None:
sdxl = sdxl_ddim sdxl = sdxl_ddim.structural_copy() if structural_copy else sdxl_ddim
expected_image = expected_sdxl_ddim_random_init expected_image = expected_sdxl_ddim_random_init
prompt = "a cute cat, detailed high-quality professional image" prompt = "a cute cat, detailed high-quality professional image"