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SDXL-Lightning

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Hi
Thank you for your contribution of distillation diffusion model work.

I face some issue related to the CFG issue.

When i apply the suggested code in the front Model card page, there is some issue below
" negative_pooled_prompt_embeds = negative_pooled_prompt_embeds.repeat(1, num_images_per_prompt).view(
AttributeError: 'NoneType' object has no attribute 'repeat'"

i searched the original huggingface/diffusers - SDXLpipeline py file (https://github.com/huggingface/diffusers/blob/v0.27.2/src/diffusers/pipelines/stable_diffusion_xl/pipeline_stable_diffusion_xl.py)
then i found

if do_classifier_free_guidance and negative_prompt_embeds is None and zero_out_negative_prompt:
negative_prompt_embeds = torch.zeros_like(prompt_embeds)
negative_pooled_prompt_embeds = torch.zeros_like(pooled_prompt_embeds)

and classifier_free_guidance(CFG) is defined when >1.

so if this pipeline is processed i must put CFG more than 1.

However you suggestion is put CFG set to 0.

So i'm qurious if you give some advice to avoid to put CFG=0

cf) i could run when CFG > 1(num_inference_steps=4, guidance_scale=2). but it's not satisfied to me.