Flux 1 Dev With Realism Lora Create Cinematic AI Video Scenes - Tutorial Guide
TLDRThis tutorial guide introduces an updated workflow for generating AI video scenes using Flux, a realistic AI model developed by xlabs AI. It simplifies the process by integrating Flux with Comfy UI, using a new FP8 checkpoint model to create cinematic scenes. The guide covers setting up the workflow, refining images with the segmentation detailer, and enhancing characters using sdxl models. It also discusses the use of text prompts for character and scene creation, aiming to produce more interactive and emotionally expressive AI characters in video storytelling.
Takeaways
- 😀 The Comfy UI team has released updates making it easier to integrate Flux into Comfy UI.
- 📂 Users can now download the FP8 checkpoint versions of AI model files, which are located in the checkpoint subfolder within the models folder.
- 🗜️ The FP8 checkpoint versions are a compressed form of the Flux developer versions, reducing the file size to 17 GB.
- 🔧 After downloading, the FP8 files should be saved in the Comfy UI models folder, specifically the checkpoints folder.
- 🛠️ The CFG in the sampling steps custom nodes should be set to one to prepare for using the new checkpoint versions.
- 📹 The speaker has been using the FP8 developer versions to create AI video scenery from images for ongoing horror stories.
- 🎨 Flux now includes its first Lora models created by xlabs AI, which work with the Flux developer models to produce photorealistic image styles.
- 🖼️ The workflow involves setting aspect ratios, using the dual clip loader, and connecting with stable diffusion and sdxl text to image workflows.
- 🔍 Negative clip text is not needed for Flux models, but positive clip text is essential for generating images.
- 🔄 The K sampler is used with a CFG of 0.1 and steps can be adjusted according to preference.
- 👤 The speaker uses the segmentation detailer to enhance characters in images, excluding unnecessary parts for refinement.
- 📈 The process includes using sdxl checkpoint models to refine the character as a whole image segment and then upscaling for the final result.
Q & A
What is the main topic of the tutorial guide?
-The main topic of the tutorial guide is the process of creating cinematic AI video scenes using the Flux 1 Dev workflow with realism Lora models.
What updates are mentioned for The Comfy UI team?
-The updates mentioned for The Comfy UI team include a simpler way to implement Flux into Comfy UI and the ability to download the FP8 checkpoint versions of AI model files.
What is the size of the FP8 checkpoint file mentioned in the script?
-The FP8 checkpoint file size is 17 GB.
What is the purpose of using the FP8 checkpoint versions?
-The FP8 checkpoint versions are used to create AI video scenery from images, providing a more efficient and streamlined workflow for generating photorealistic images.
What is the role of the CFG in the sampling steps custom nodes?
-The CFG in the sampling steps custom nodes should be set to one to ensure the proper functioning of the workflow with the FP8 checkpoint versions.
What is the significance of the Flux Realism Lora models?
-The Flux Realism Lora models are significant as they produce photorealistic image styles when used with the Flux developer models.
How are the aspect ratios set in the workflow?
-The aspect ratios are set using the Sdxl landscape ratios in the workflow.
What is the recommended batch size for generating images in the workflow?
-The recommended batch size is one or two images per batch size for each Q prompt in the workflow.
What is the K sampler used for in the workflow?
-The K sampler is used for setting the sampling parameters in the workflow, with a CFG of 0.1 and customizable steps for the generation process.
How does the process handle the generation of multiple images per batch?
-The process can generate up to four images per batch, but the tutorial recommends generating one or two images due to well-defined text prompts for each character.
What is the purpose of using the segmentation detailer in the workflow?
-The segmentation detailer is used for enhancing the person in the image and refining details to get rid of artifacts and improve the natural look of the character's skin.
How does the tutorial guide address the issue of inconsistent clothing styles in generated images?
-The tutorial guide acknowledges the issue and mentions that future tutorials will cover how to fix inconsistencies in clothing styles and other aspects using techniques like face swap or in-paint.
Outlines
🌟 Flux Image Generation Workflow Update
This paragraph introduces updates to the Flux image generation workflow, focusing on the integration with Comfy UI. Users can now download the FP8 checkpoint versions of AI model files, which consolidate various models into a single 17 GB file. These files should be saved in the checkpoints folder within the Comfy UI models directory. The speaker also discusses the use of FP8 checkpoints for creating AI video scenery from images, mentioning the addition of Flux's first Laura models for photorealistic image styles. The workflow involves setting aspect ratios, using the K sampler, and employing custom nodes for refining images. The process concludes with sharpening, detail enhancement, and upscaling for final output.
📚 Creating AI Short Stories and Videos with Flux
The speaker details their experience creating AI short stories and videos over the weekend using the Flux workflow. They describe uploading image scenes to Cling AI for further development, emphasizing the importance of interactive and emotional character portrayal to avoid robotic AI videos. The process involves testing and refining AI images to match expectations, with a focus on conversational style and character interaction. The paragraph also discusses the use of text prompts and character descriptions to guide the AI in generating scenes, noting the efficiency and memory consumption of the workflow compared to previous versions. The speaker shares their approach to generating multiple images per batch and selecting the best results for video creation.
🎨 Enhancing AI Image Generation with Flux and Post-Processing
This paragraph discusses the refinement and post-processing steps in the AI image generation process using Flux. The speaker explains how to address issues like artifact skins and character inconsistencies by using the segmentation detailer and setting denoising levels. They also mention the use of upscalers to improve image quality. The paragraph highlights the variability in clothing and facial features generated by the AI and looks forward to a future tutorial on fixing these inconsistencies. The speaker concludes by encouraging viewers to use Flux for creating realistic images for AI videos and expressing hope that the tutorial will inspire others to create their own AI movies or music videos.
Mindmap
Keywords
💡Flux Image Generation Workflow
💡Comfy UI
💡Checkpoint
💡Flux Developer FP8
💡Flux Realism Laura
💡Aspect Ratios
💡K Sampler
💡Batch Size
💡Segmentation Detailer
💡Upscale
💡Cling AI
Highlights
Update on the flux image generation workflow with a simpler implementation into Comfy UI.
Introduction of the fp8 checkpoint versions of AI model files for flux, reducing file size to 17 GB.
Instructions on downloading and saving the fp8 checkpoint into the Comfy UI models folder.
Necessity of setting the CFG in the sampling steps custom nodes to one for workflow readiness.
Use of fp8 checkpoint versions for creating AI video scenery from images in various scenes.
Announcement of the first Laura models for flux realism created by xlabs AI.
Integration of flux realism Laura models with developer models for photorealistic image styles.
Setting aspect ratios using the sdxl landscape ratios for workflow differences.
Workflow comparison between flux AI and sdxl for refining and upscaling.
Instructions for using the Dual clip loader and negative clip text for flux models.
Details on setting batch size and generating images per batch for each Q prompt.
Description of the K sampler and its settings for flux image generation.
Technique of using image sharpening and detailers for enhancing character images.
Process of refining character images using segmentation and sdxl checkpoint models.
Explanation of the upscaler and its role in achieving the final image result.
Demonstration of creating AI short stories and videos using the described workflow.
Discussion on the interactive style of AI characters and adding emotions to the narrative.
Challenges of consistency in clothing styles and facial features in AI generated images.
Future tutorial plans on editing image scenes for more consistent characters.
Advantages of flux models in prompt following and generating multiple objects in one image.
Preview of upcoming tutorials on fixing artifacts and improving character consistency.
Encouragement for viewers to create AI movies and music videos using the flux workflow.