[CI] fix ci and format existing code (#71)

Signed-off-by: zjy0516 <riverclouds.zhu@qq.com>
This commit is contained in:
Jiangyun Zhu authored and GitHub committed 2025-11-18 20:54:26 +08:00
1 parent 09fab2ecc9
commit 5707fc78d5
52 files changed
+813 -2155

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@@ -206,7 +206,7 @@ dit_stage_config.executor_class = DiffusersPipelineExecutor
Similar to OmniLLM in offline inference, add some asynchronous processing, referring to AsyncLLM
```python
from vllm.v1.engine.async_llm improt AsyncLLM
from vllm.v1.engine.async_llm import AsyncLLM
class AsyncOmniLLM(AsyncLLM):
@@ -317,13 +317,13 @@ class DiffusersPipelineExecutor(Executor):
# Generate image
prompt_embeds = self._get_and_process_prompt_embeds(scheduler_output, positive_magic)
negtive_prompt_embeds = self.pipe.embed_prompt(" ")
negative_prompt_embeds = self.pipe.embed_prompt(" ")
width, height = aspect_ratios["16:9"]
image = pipe(
prompt_embeds=prompt_embeds,
negtive_prompt_embeds=negtive_prompt_embeds,
negative_prompt_embeds=negative_prompt_embeds,
width=width,
height=height,
num_inference_steps=50,