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renzhc
diffusers_dcu
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3584f6b3
Unverified
Commit
3584f6b3
authored
Mar 15, 2023
by
M. Tolga Cangöz
Committed by
GitHub
Mar 15, 2023
Browse files
Update img2img.mdx (#2688)
Fix typos
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b4bb5345
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docs/source/en/using-diffusers/img2img.mdx
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docs/source/en/using-diffusers/img2img.mdx
View file @
3584f6b3
...
@@ -33,7 +33,7 @@ from io import BytesIO
...
@@ -33,7 +33,7 @@ from io import BytesIO
from diffusers import StableDiffusionImg2ImgPipeline
from diffusers import StableDiffusionImg2ImgPipeline
```
```
Load the pipeline
Load the pipeline
:
```python
```python
device = "cuda"
device = "cuda"
...
@@ -42,7 +42,7 @@ pipe = StableDiffusionImg2ImgPipeline.from_pretrained("runwayml/stable-diffusion
...
@@ -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
```python
url = "https://raw.githubusercontent.com/CompVis/stable-diffusion/main/assets/stable-samples/img2img/sketch-mountains-input.jpg"
url = "https://raw.githubusercontent.com/CompVis/stable-diffusion/main/assets/stable-samples/img2img/sketch-mountains-input.jpg"
...
@@ -55,7 +55,7 @@ init_image
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@@ -55,7 +55,7 @@ init_image


Define the prompt and run the pipeline
.
Define the prompt and run the pipeline
:
```python
```python
prompt = "A fantasy landscape, trending on artstation"
prompt = "A fantasy landscape, trending on artstation"
...
@@ -67,7 +67,7 @@ prompt = "A fantasy landscape, trending on artstation"
...
@@ -67,7 +67,7 @@ prompt = "A fantasy landscape, trending on artstation"
</Tip>
</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
```python
generator = torch.Generator(device=device).manual_seed(1024)
generator = torch.Generator(device=device).manual_seed(1024)
...
@@ -89,9 +89,9 @@ image
...
@@ -89,9 +89,9 @@ image


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
```python
from diffusers import LMSDiscreteScheduler
from diffusers import LMSDiscreteScheduler
...
...
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