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feat: add VAE select

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This commit is contained in:
Manuel Schmid
2024-05-04 20:36:47 +02:00
parent c36e951781
commit 8e6299b898
7 changed files with 49 additions and 20 deletions
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modules/core.py
+5 -3
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@@ -35,12 +35,13 @@ opModelSamplingDiscrete = ModelSamplingDiscrete()
class StableDiffusionModel:
def __init__(self, unet=None, vae=None, clip=None, clip_vision=None, filename=None):
def __init__(self, unet=None, vae=None, clip=None, clip_vision=None, filename=None, vae_filename=None):
self.unet = unet
self.vae = vae
self.clip = clip
self.clip_vision = clip_vision
self.filename = filename
self.vae_filename = filename
self.unet_with_lora = unet
self.clip_with_lora = clip
self.visited_loras = ''
@@ -142,8 +143,9 @@ def apply_controlnet(positive, negative, control_net, image, strength, start_per
@torch.no_grad()
@torch.inference_mode()
def load_model(ckpt_filename):
unet, clip, vae, clip_vision = load_checkpoint_guess_config(ckpt_filename, embedding_directory=path_embeddings)
def load_model(ckpt_filename, vae_filename=None):
unet, clip, vae, clip_vision = load_checkpoint_guess_config(ckpt_filename, embedding_directory=path_embeddings,
vae_filename=vae_filename)
return StableDiffusionModel(unet=unet, clip=clip, vae=vae, clip_vision=clip_vision, filename=ckpt_filename)