mirror of
https://github.com/modelscope/DiffSynth-Studio.git
synced 2026-03-24 10:18:12 +00:00
update UI
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@@ -209,6 +209,9 @@ class HunyuanDiTImagePipeline(BasePipeline):
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def __call__(
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self,
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prompt,
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local_prompts=[],
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masks=[],
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mask_scales=[],
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negative_prompt="",
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cfg_scale=7.5,
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clip_skip=1,
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@@ -241,6 +244,7 @@ class HunyuanDiTImagePipeline(BasePipeline):
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prompt_emb_posi = self.encode_prompt(prompt, clip_skip=clip_skip, clip_skip_2=clip_skip_2, positive=True)
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if cfg_scale != 1.0:
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prompt_emb_nega = self.encode_prompt(negative_prompt, clip_skip=clip_skip, clip_skip_2=clip_skip_2, positive=True)
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prompt_emb_locals = [self.encode_prompt(prompt_local, clip_skip=clip_skip, clip_skip_2=clip_skip_2, positive=True) for prompt_local in local_prompts]
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# Prepare positional id
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extra_input = self.prepare_extra_input(latents, tiled, tile_size)
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@@ -250,9 +254,9 @@ class HunyuanDiTImagePipeline(BasePipeline):
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timestep = torch.tensor([timestep]).to(dtype=self.torch_dtype, device=self.device)
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# Positive side
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noise_pred_posi = self.dit(
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latents, timestep=timestep, **prompt_emb_posi, **extra_input,
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)
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inference_callback = lambda prompt_emb_posi: self.dit(latents, timestep=timestep, **prompt_emb_posi, **extra_input)
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noise_pred_posi = self.control_noise_via_local_prompts(prompt_emb_posi, prompt_emb_locals, masks, mask_scales, inference_callback)
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if cfg_scale != 1.0:
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# Negative side
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noise_pred_nega = self.dit(
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