theluyuan/DiffSynth-Studio
1
0
Fork 0
mirror of https://github.com/modelscope/DiffSynth-Studio.git synced 2026-03-24 10:18:12 +00:00
Code Issues Packages Projects Releases Wiki Activity

Update text_to_image.py

Browse Source
This commit is contained in:
Zhongjie Duan
2025-01-02 14:23:02 +08:00
committed by GitHub
parent 088ea29e6e
commit 3b010043de
1 changed files with 4 additions and 1 deletions
Download Patch File Download Diff File Expand all files Collapse all files

5
diffsynth/trainers/text_to_image.py
View File

@@ -71,7 +71,10 @@ class LightningModelForT2ILoRA(pl.LightningModule):
# Prepare input parameters # Prepare input parameters
self.pipe.device = self.device self.pipe.device = self.device
prompt_emb = self.pipe.encode_prompt(text, positive=True) prompt_emb = self.pipe.encode_prompt(text, positive=True)
latents = self.pipe.vae_encoder(image.to(dtype=self.pipe.torch_dtype, device=self.device)) if "latents" in batch:
latents = batch["latents"].to(dtype=self.pipe.torch_dtype, device=self.device)
else:
latents = self.pipe.vae_encoder(image.to(dtype=self.pipe.torch_dtype, device=self.device))
noise = torch.randn_like(latents) noise = torch.randn_like(latents)
timestep_id = torch.randint(0, self.pipe.scheduler.num_train_timesteps, (1,)) timestep_id = torch.randint(0, self.pipe.scheduler.num_train_timesteps, (1,))
timestep = self.pipe.scheduler.timesteps[timestep_id].to(self.device) timestep = self.pipe.scheduler.timesteps[timestep_id].to(self.device)