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10 changes: 8 additions & 2 deletions src/module/stable_diffusion.py
Original file line number Diff line number Diff line change
Expand Up @@ -29,7 +29,12 @@ def freeze(model):
class StableDiffusion(Base):
def setup(self):
hf_key = self.config.get("hf_key", None)
self.device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
if torch.cuda.is_available():
self.device = torch.device("cuda")
elif torch.backends.mps.is_available():
self.device = torch.device("mps")
else:
self.device = torch.device("cpu")
fp16 = self.config.get("fp16", True)
self.dtype = torch.bfloat16 if fp16 else torch.float32
vae_padding = self.config.get("vae_padding", "zeros")
Expand Down Expand Up @@ -62,7 +67,7 @@ def setup(self):
# 3. Text encoder (CLIP)
text_encoder_config = CLIPTextConfig.from_pretrained(model_key, subfolder="text_encoder", local_files_only=local_files_only)
self.text_encoder = CLIPTextModel(text_encoder_config)
self.text_encoder.to(self.device, dtype=self.dtype).eval()
self.text_encoder = self.text_encoder.to(self.device, dtype=self.dtype).eval()
# 4. Tokenizer (CLIP tokenizer, this one has vocab so from_pretrained is needed)
self.tokenizer = CLIPTokenizer.from_pretrained(model_key, subfolder="tokenizer", local_files_only=local_files_only)
# 5. Scheduler
Expand All @@ -74,6 +79,7 @@ def setup(self):

def encode_text(self, prompt, padding_mode="do_not_pad"):
# prompt: [str]
self.text_encoder = self.text_encoder.to(self.device) # force materialization for MPS
inputs = self.tokenizer(
prompt,
padding=padding_mode,
Expand Down