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taesd preview modularize

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Signed-off-by: Vladimir Mandic <mandic00@live.com>
This commit is contained in:
Vladimir Mandic
2026-05-09 10:15:26 +02:00
parent 4747ca2fc0
commit 12d5ce65ee
2 changed files with 25 additions and 13 deletions
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modules/vae/sd_vae_taesd.py
+24 -12
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@@ -45,7 +45,6 @@ prev_cls = ''
prev_type = ''
prev_model = ''
lock = threading.Lock()
supported = ['sd', 'sdxl', 'sd3', 'f1', 'f2', 'h1', 'zimage', 'lumina2', 'hunyuanvideo', 'wanai', 'chrono', 'cosmos', 'anima', 'mochivideo', 'pixartsigma', 'pixartalpha', 'hunyuandit', 'omnigen', 'qwen', 'longcat', 'omnigen2', 'flite', 'ovis', 'kandinsky5', 'glmimage', 'cogview3', 'cogview4']
def warn_once(msg, variant=None):
@@ -57,15 +56,15 @@ def warn_once(msg, variant=None):
return Image.new('RGB', (8, 8), color = (0, 0, 0))
def get_model(model_type = 'decoder', variant = None):
global prev_cls, prev_type, prev_model, prev_warnings # pylint: disable=global-statement
model_cls = shared.sd_model_type
if model_cls is None or model_cls == 'none':
return None, variant
def get_model(model_cls, variant=None):
if variant is not None:
pass
elif model_cls in {'ldm', 'pixartalpha'}:
model_cls = 'sd'
variant = shared.opts.taesd_variant
elif model_cls in {'pixartsigma', 'hunyuandit', 'omnigen', 'auraflow'}:
model_cls = 'sdxl'
variant = shared.opts.taesd_variant
elif model_cls in {'f1', 'h1', 'zimage', 'lumina2', 'chroma', 'longcat', 'omnigen2', 'flite', 'ovis', 'kandinsky5', 'glmimage', 'cogview3', 'cogview4', 'ultraflux'}:
model_cls = 'f1'
variant = 'TAE FLUX.1'
@@ -74,12 +73,25 @@ def get_model(model_type = 'decoder', variant = None):
variant = 'TAE FLUX.2'
elif model_cls in {'sd3'}:
variant = 'TAE SD3'
elif model_cls in {'wanai', 'qwen', 'chrono', 'cosmos', 'anima', 'fibo'}:
variant = variant or 'TAE WanVideo'
elif model_cls not in supported:
elif model_cls in {'wanai', 'qwen', 'chrono', 'cosmos', 'anima', 'fibo', 'joy'}:
variant = 'TAE WanVideo'
else:
warn_once(f'cls={shared.sd_model.__class__.__name__} type={shared.sd_model_type} unsuppported', variant=variant)
return model_cls, None
if debug:
log.debug(f'TAESD detect: cls={model_cls} variant={variant}')
return model_cls, variant
def load_model(model_type = 'decoder', variant = None):
global prev_cls, prev_type, prev_model, prev_warnings # pylint: disable=global-statement
model_cls = shared.sd_model_type
if model_cls is None or model_cls == 'none':
return None, variant
model_cls, variant = get_model(model_cls, variant)
print('HERE', model_cls, variant)
if model_cls is None or variant is None:
return None, variant
variant = variant or shared.opts.taesd_variant
folder = os.path.join(paths.models_path, "TAESD")
dtype = devices.dtype_vae if devices.dtype_vae != torch.bfloat16 else torch.float16 # taesd does not support bf16
os.makedirs(folder, exist_ok=True)
@@ -154,7 +166,7 @@ def decode(latents):
global first_run # pylint: disable=global-statement
with lock:
try:
vae, variant = get_model(model_type='decoder')
vae, variant = load_model(model_type='decoder')
if vae is None or max(latents.shape) > 256: # safetey check of large tensors
return latents
except Exception as e:
@@ -192,7 +204,7 @@ def decode(latents):
def encode(image):
with lock:
vae, variant = get_model(model_type='encoder')
vae, variant = load_model(model_type='encoder')
if vae is None:
return image
try: