스테이블 디퓨전 실사 이미지 동영상 만들기
TLDRThe video script introduces a method of creating images and videos using a real-life model and the Stable Diffusion model. It emphasizes the importance of checking the model version and understanding how it was trained. The script demonstrates the process of generating images with various commands and settings, including the use of the Veril series, and the application of open poses and references. It also discusses the potential risks of using NSFW commands and the need to apply high-quality fixes. The video concludes by showcasing the versatility of the Stable Diffusion model in creating diverse images and videos, even without the use of a specific model, and encourages viewers to explore and experiment with the technology.
Takeaways
- 🎨 The video discusses utilizing a real-life model and creating images or videos through open poses and commands.
- 🖼️ The 74 model is frequently used, and it's important to always check the stable diffusion version when using it.
- 📈 Different versions of the model exist based on the amount of training, which affects the output.
- 🎭 The Magic Mix series has various expressions, each with its own strengths in portraying different faces.
- 👤 The command prompt is used to generate images, with settings and scale adjusted as needed.
- 🔞 Caution is advised when using NSFW (Not Safe For Work) commands to avoid inappropriate content.
- 👗 The model requires the application of DeepFix to prevent the generation of explicit content.
- 🔄 The process involves creating an initial image, then iterating and refining it based on desired outcomes.
- 🎭 Open pose can be applied to create a variety of poses, and reference images can be used to generate mapped images.
- 🖌️ Hand details are edited using a different extension, and adjustments are made for a more natural look.
- 🎥 The video also covers the creation of a short video, emphasizing the importance of using the original model for consistency.
- 🌐 The video concludes by thanking the viewers for learning about the Stable Diffusion Magic Mix series models.
Q & A
What is the main focus of the video?
-The main focus of the video is to demonstrate how to create images and videos using a real-life model with open poses and commands, and to discuss various reference images and the process of utilizing them effectively.
Which model is primarily used in the video?
-The video primarily uses the 74 model, which is widely used in image generation.
Why is it important to check the Stable Diffusion version when using the 74 model?
-It is important to check the Stable Diffusion version because different versions of the model may produce different results, and using the wrong version can lead to unexpected outcomes.
What is the significance of the Vercel series in the video?
-The Vercel series is significant because each series has its own strengths in expressing different facial features, and the video creator chose the Vercel Bry 2 series for its specific characteristics.
How does the video creator handle the generation of images with NSFW (Not Safe For Work) content?
-The video creator intentionally includes the NSFW command to generate images and then blocks the inappropriate content by applying the Hi-Fi克斯 (Hi-Fi Fix) to ensure the output is safe and suitable for all audiences.
What is the role of the open pose in the image generation process?
-The open pose is crucial in the image generation process as it allows the model to recognize and apply various poses, which can then be further customized and refined to achieve the desired result.
How does the video creator modify the generated images?
-The video creator modifies the generated images by adjusting settings, changing sampling, and using different extensions like Paint to make detailed edits, such as altering facial features or clothing.
What is the purpose of using references and mapping images in the video?
-Using references and mapping images helps the video creator to generate more detailed and accurate images by leveraging pre-existing high-quality visuals and applying them to the generated content.
How does the video demonstrate the creation of a video?
-The video demonstrates the creation of a video by generating a series of images with different poses and expressions, and then stringing them together to form a连贯的 video sequence.
What is the significance of the control settings in the video?
-The control settings are significant as they allow the video creator to fine-tune the generated content, ensuring that the output is natural and meets the desired aesthetic standards.
What is the conclusion of the video regarding the use of Stable Diffusion and Vercel series models?
-The conclusion of the video is that the Stable Diffusion and Vercel series models offer a powerful and versatile tool for creating images and videos, with the potential to produce unique and high-quality content even without the use of specific commands or references.
Outlines
🎨 Introduction to Image Creation with Stable Diffusion Model
This paragraph introduces the process of creating images and videos using the Stable Diffusion model, specifically the version 74 which is widely used in 74 images. It emphasizes the importance of checking the Stable 1.4 version and adapting to different versions based on the training data. The speaker plans to demonstrate how to generate images by copying command prompts and adjusting settings freely, even including NSFW (Not Safe For Work) commands as an example. The process involves basic video editing techniques and the use of the Veril series, with a focus on the Beryl B2 series for facial expressions. The speaker intends to show how to correct and modify the generated images, starting with the creation of the first image which may take longer due to upscaling.
🖌️ Editing and Manipulating Images with Open Poses and Extensions
In this paragraph, the speaker discusses the intricacies of editing images, particularly focusing on hands and other details using different extensions and tools like Paint. The process involves using Open Poses to recognize and adjust poses, as well as fine-tuning the model's settings to achieve the desired look. The speaker also talks about the importance of feeling and intuition when making adjustments, as there is no fixed value for these changes. The aim is to create a natural and well-recognized outcome by applying various commands and modifications, even attempting to create boxing poses as an example.
🌟 Customizing and Sampling Faces in the Stable Diffusion Model
This section delves into the customization of faces using the Stable Diffusion model. The speaker explains how to change the sampling and steps to select the desired mood or expression. It mentions that while the model may vary, it is possible to alter famous faces if they have been trained upon. The process includes turning off controls and applying the 'DeepFake Rumor' face change technique. The speaker also discusses the use of different images and sampling to create a diverse range of outputs, highlighting the ability to make unique and interesting expressions without the need for specific controls.
🎥 Creating and Comparing Videos with Stable Diffusion Models
The final paragraph focuses on the transition from image creation to video production using the Stable Diffusion models. The speaker talks about the challenges of denoising and how it can alter faces significantly. The approach involves using the original image's model and working alongside denoising to maintain a natural look while making adjustments. The speaker shares their intention to apply a control net for desired variations and to compare the results with the original images. The goal is to create engaging content by leveraging the capabilities of the Stable Diffusion series models, expressing gratitude for the audience's attention and interest in the topic.
Mindmap
Keywords
💡실사 모델 (Real-life model)
💡오픈 포즈 (Open pose)
💡명령어 (Command)
💡스테이플 디퓨전 (Stable diffusion)
💡맵 이미지 (Map image)
💡DW 오픈 포즈 (DW open pose)
💡컨트롤 (Control)
💡샘플링 (Sampling)
💡디노이징 (Denoising)
💡페인트 (Paint)
💡동영상 (Video)
Highlights
The use of a real-life model to create images and videos through open poses and commands.
The importance of checking the Stable Diffusion version when using the model, specifically mentioning Stable 1.4.
The necessity of using the correct model version according to the training data to avoid anomalies in the output.
The Magic Mix series with its various expressions and the selection of the Veral Bruce 2 series for its facial expressions.
The process of copying command prompts to generate images and experimenting with different settings.
The inclusion of an NSFW (Not Safe For Work) command and the application of hygiene fixes to the generated content.
The adjustment of settings such as scale and the exploration of learning patterns through sampling changes.
The creation of diverse poses using Open Pose and the generation of mapped images.
The editing of poses and the fine-tuning of the model to achieve a more natural and desirable outcome.
The application of various commands and settings to achieve unique and interesting expressions in the generated images.
The potential of creating images with different faces by adjusting sampling and settings, even without the use of a morph.
The exploration of using images as inputs to enhance details and make facial adjustments.
The creation of a video using the original image's model and the challenges of de-noising to maintain facial integrity.
The application of control nets and the adjustment of de-noising levels for a more natural video output.
The demonstration of creating a video with a desired mood by changing the settings and sampling.
The conclusion of the session with a summary of the learnings from the Stable Diffusion Magic Mix series models.