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Add high quality preview support for Flux2 latents (#13496)

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This commit is contained in:
blepping
2026-04-29 17:37:30 -06:00
committed by GitHub
parent 5eeae3f1d8
commit a164c82913
4 changed files with 100 additions and 61 deletions
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53
nodes.py
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@@ -728,50 +728,26 @@ class LoraLoaderModelOnly(LoraLoader):
class VAELoader:
video_taes = ["taehv", "lighttaew2_2", "lighttaew2_1", "lighttaehy1_5", "taeltx_2"]
image_taes = ["taesd", "taesdxl", "taesd3", "taef1"]
image_taes = ["taesd", "taesdxl", "taesd3", "taef1", "taef2"]
@staticmethod
def vae_list(s):
vaes = folder_paths.get_filename_list("vae")
approx_vaes = folder_paths.get_filename_list("vae_approx")
sdxl_taesd_enc = False
sdxl_taesd_dec = False
sd1_taesd_enc = False
sd1_taesd_dec = False
sd3_taesd_enc = False
sd3_taesd_dec = False
f1_taesd_enc = False
f1_taesd_dec = False
have_img_encoder, have_img_decoder = set(), set()
for v in approx_vaes:
if v.startswith("taesd_decoder."):
sd1_taesd_dec = True
elif v.startswith("taesd_encoder."):
sd1_taesd_enc = True
elif v.startswith("taesdxl_decoder."):
sdxl_taesd_dec = True
elif v.startswith("taesdxl_encoder."):
sdxl_taesd_enc = True
elif v.startswith("taesd3_decoder."):
sd3_taesd_dec = True
elif v.startswith("taesd3_encoder."):
sd3_taesd_enc = True
elif v.startswith("taef1_encoder."):
f1_taesd_dec = True
elif v.startswith("taef1_decoder."):
f1_taesd_enc = True
else:
parts = v.split("_", 1)
if len(parts) != 2 or parts[0] not in s.image_taes:
for tae in s.video_taes:
if v.startswith(tae):
vaes.append(v)
if sd1_taesd_dec and sd1_taesd_enc:
vaes.append("taesd")
if sdxl_taesd_dec and sdxl_taesd_enc:
vaes.append("taesdxl")
if sd3_taesd_dec and sd3_taesd_enc:
vaes.append("taesd3")
if f1_taesd_dec and f1_taesd_enc:
vaes.append("taef1")
break
continue
if parts[1].startswith("encoder."):
have_img_encoder.add(parts[0])
elif parts[1].startswith("decoder."):
have_img_decoder.add(parts[0])
vaes += [k for k in have_img_decoder if k in have_img_encoder]
vaes.append("pixel_space")
return vaes
@@ -827,6 +803,11 @@ class VAELoader:
else:
vae_path = folder_paths.get_full_path_or_raise("vae", vae_name)
sd, metadata = comfy.utils.load_torch_file(vae_path, return_metadata=True)
if vae_name == "taef2":
if metadata is None:
metadata = {"tae_latent_channels": 128}
else:
metadata["tae_latent_channels"] = 128
vae = comfy.sd.VAE(sd=sd, metadata=metadata)
vae.throw_exception_if_invalid()
return (vae,)