Public/automatic
1
0
Fork 0
mirror of https://github.com/vladmandic/automatic synced 2026-09-19 01:04:32 +02:00
Code Issues Packages Projects Releases Wiki Activity

flux hires and refiner workflows

Browse Source
This commit is contained in:
Vladimir Mandic
2024-09-08 10:48:22 -04:00
parent 787b321d57
commit 51e8567eec
7 changed files with 55 additions and 23 deletions
Download Patch File Download Diff File Expand all files Collapse all files
modules/processing_vae.py
+6 -2
View File
@@ -115,7 +115,7 @@ def taesd_vae_encode(image):
return encoded
def vae_decode(latents, model, output_type='np', full_quality=True):
def vae_decode(latents, model, output_type='np', full_quality=True, width=None, height=None):
t0 = time.time()
prev_job = shared.state.job
shared.state.job = 'VAE'
@@ -129,11 +129,15 @@ def vae_decode(latents, model, output_type='np', full_quality=True):
if not hasattr(model, 'vae'):
shared.log.error('VAE not found in model')
return []
if hasattr(model, "_unpack_latents") and hasattr(model, "vae_scale_factor") and width is not None and height is not None: # FLUX
latents = model._unpack_latents(latents, height, width, model.vae_scale_factor) # pylint: disable=protected-access
if len(latents.shape) == 3: # lost a batch dim in hires
latents = latents.unsqueeze(0)
if latents.shape[0] == 4 and latents.shape[1] != 4: # likely animatediff latent
latents = latents.permute(1, 0, 2, 3)
if full_quality:
if any(s >= 512 for s in latents.shape):
imgs = latents.float().cpu().numpy()
elif full_quality and hasattr(shared.sd_model, "vae"):
decoded = full_vae_decode(latents=latents, model=shared.sd_model)
else:
decoded = taesd_vae_decode(latents=latents)