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Update README.md
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README.md
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@@ -35,14 +35,14 @@ pip install --upgrade diffusers transformers accelerate peft
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### Text-to-Image
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The adapter can be loaded with
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Please make sure to either disable `guidance_scale` or use values between 1.0 and 2.0.
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```python
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import torch
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from diffusers import LCMScheduler, AutoPipelineForText2Image
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model_id = "
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adapter_id = "latent-consistency/lcm-lora-sdv1-5"
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pipe = AutoPipelineForText2Image.from_pretrained(model_id, torch_dtype=torch.float16, variant="fp16")
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### Text-to-Image
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The adapter can be loaded with SDv1-5 or deviratives. Here we use `Lykon/dreamshaper-7`. Next, the scheduler needs to be changed to [`LCMScheduler`](https://huggingface.co/docs/diffusers/v0.22.3/en/api/schedulers/lcm#diffusers.LCMScheduler) and we can reduce the number of inference steps to just 2 to 8 steps.
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Please make sure to either disable `guidance_scale` or use values between 1.0 and 2.0.
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```python
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import torch
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from diffusers import LCMScheduler, AutoPipelineForText2Image
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model_id = "Lykon/dreamshaper-7"
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adapter_id = "latent-consistency/lcm-lora-sdv1-5"
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pipe = AutoPipelineForText2Image.from_pretrained(model_id, torch_dtype=torch.float16, variant="fp16")
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