Image inpainting

Let's put a spin on multi-modal image generation by combining it with image inpainting. You will modify the self-portrait of Van Gogh to have a black beard using the StableDiffusionControlNetInpaintPipeline and an image mask, which has been created for you (mask_image):

Famous Van Gogh painting and mask

Note: Inference on diffusion models can take a long time, so we've pre-loaded the generated image for you. Running different prompts will not generated new images.

The original version of the image has been loaded as init_image, along with a control image (control_image) created with the make_inpaint_condition() function from the video.

This exercise is part of the course

Multi-Modal Models with Hugging Face

Exercise instructions

Run the pipeline with a prompt designed to generate a black beard, specifying num_inference_steps=40, and passing the init_image, mask_image, and control_image.

Hands-on interactive exercise

Have a go at this exercise by completing this sample code.

# Run the pipeline requesting a black beard
output = pipe(
    ____,
    num_inference_steps=____,
    eta=1.0,
    image=____,
    mask_image=____,
    control_image=____
)

plt.imshow(output.images[0])
plt.show()

Edit and Run Code

This exercise is part of the course

Multi-Modal Models with Hugging Face

IntermediateSkill Level

5.0+

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Navigate the Hugging Face model hub, transform raw text, audio, and visual data into AI-friendly formats. Learn how to find the latest most popular models for tasks such as text generation and harness the power of pre-built pipelines.

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Transform ideas into reality! Master cutting-edge AI techniques to generate and manipulate visual content using text prompts. Create stunning images, edit photos intelligently, and build powerful question-answering systems for images and documents. Turn your creative vision into digital reality with multi-modal AI.

Exercise 1: Multimodal QA tasks Exercise 2: Image-text to text with ViLT Exercise 3: Document-text to text with LayoutLM Exercise 4: Text-guided image editing Exercise 5: Custom image editing Exercise 6: Image inpainting

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Exercise 7: Multimodal video generation Exercise 8: Video generation Exercise 9: Assessing video generation performance Exercise 10: Congratulations!