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stevhliu merged 1 commit into from
Mar 21, 2024
Merged

[Docs] add missing output image #7425

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7 changes: 4 additions & 3 deletions docs/source/en/tutorials/using_peft_for_inference.md
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Original file line number Diff line number Diff line change
Expand Up @@ -45,7 +45,7 @@ Make sure to include the token `toy_face` in the prompt and then you can perform
```python
prompt = "toy_face of a hacker with a hoodie"

lora_scale= 0.9
lora_scale = 0.9
image = pipe(
prompt, num_inference_steps=30, cross_attention_kwargs={"scale": lora_scale}, generator=torch.manual_seed(0)
).images[0]
Expand Down Expand Up @@ -114,7 +114,7 @@ To return to only using one adapter, use the [`~diffusers.loaders.UNet2DConditio
pipe.set_adapters("toy")

prompt = "toy_face of a hacker with a hoodie"
lora_scale= 0.9
lora_scale = 0.9
image = pipe(
prompt, num_inference_steps=30, cross_attention_kwargs={"scale": lora_scale}, generator=torch.manual_seed(0)
).images[0]
Expand All @@ -127,11 +127,12 @@ Or to disable all adapters entirely, use the [`~diffusers.loaders.UNet2DConditio
pipe.disable_lora()

prompt = "toy_face of a hacker with a hoodie"
lora_scale= 0.9
image = pipe(prompt, num_inference_steps=30, generator=torch.manual_seed(0)).images[0]
image
```

![no-lora](https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/peft_integration/diffusers_peft_lora_inference_20_1.png)

## Manage active adapters

You have attached multiple adapters in this tutorial, and if you're feeling a bit lost on what adapters have been attached to the pipeline's components, use the [`~diffusers.loaders.LoraLoaderMixin.get_active_adapters`] method to check the list of active adapters:
Expand Down