Skip to content

Update img2img.mdx #2688

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Merged
merged 1 commit into from
Mar 15, 2023
Merged

Update img2img.mdx #2688

Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
12 changes: 6 additions & 6 deletions docs/source/en/using-diffusers/img2img.mdx
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -33,7 +33,7 @@ from io import BytesIO
from diffusers import StableDiffusionImg2ImgPipeline
```

Load the pipeline
Load the pipeline:

```python
device = "cuda"
Expand All @@ -42,7 +42,7 @@ pipe = StableDiffusionImg2ImgPipeline.from_pretrained("runwayml/stable-diffusion
)
```

Download an initial image and preprocess it so we can pass it to the pipeline.
Download an initial image and preprocess it so we can pass it to the pipeline:

```python
url = "https://raw.githubusercontent.com/CompVis/stable-diffusion/main/assets/stable-samples/img2img/sketch-mountains-input.jpg"
Expand All @@ -55,7 +55,7 @@ init_image

![img](https://huggingface.co/datasets/YiYiXu/test-doc-assets/resolve/main/image_2_image_using_diffusers_cell_8_output_0.jpeg)

Define the prompt and run the pipeline.
Define the prompt and run the pipeline:

```python
prompt = "A fantasy landscape, trending on artstation"
Expand All @@ -67,7 +67,7 @@ prompt = "A fantasy landscape, trending on artstation"

</Tip>

Let's generate two images with same pipeline and seed, but with different values for `strength`
Let's generate two images with same pipeline and seed, but with different values for `strength`:

```python
generator = torch.Generator(device=device).manual_seed(1024)
Expand All @@ -89,9 +89,9 @@ image
![img](https://huggingface.co/datasets/YiYiXu/test-doc-assets/resolve/main/image_2_image_using_diffusers_cell_14_output_1.jpeg)


As you can see, when using a lower value for `strength`, the generated image is more closer to the original `image`
As you can see, when using a lower value for `strength`, the generated image is more closer to the original `image`.

Now let's use a different scheduler - [LMSDiscreteScheduler](https://huggingface.co/docs/diffusers/api/schedulers#diffusers.LMSDiscreteScheduler)
Now let's use a different scheduler - [LMSDiscreteScheduler](https://huggingface.co/docs/diffusers/api/schedulers#diffusers.LMSDiscreteScheduler):

```python
from diffusers import LMSDiscreteScheduler
Expand Down