Tag: #video
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Flux Kontext + Ollama in ComfyUI
Read This Post: Flux Kontext + Ollama in ComfyUII designed a lightweight LLM-powered workflow to improve consistency and quality in image prompting. The process begins with Microsoft’s Florence 2 vision model, which analyzes and describes the content of the input image. This description is then combined with user input using Ollama to create a richer, more context-aware prompt. Finally, the refined prompt is…
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Smart Flux Inpainting Workflow With Automated Visual Recognition and Masking in ComfyUI.
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Read This Post: Smart Flux Inpainting Workflow With Automated Visual Recognition and Masking in ComfyUI.In this workflow, I used Florence and Segment Anything vision model to automatically recognise elements in the image and create masking layer based on the text prompt. I applied SEGS Detailer and Flux to complete the inpainting.
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Virtual Reality Flux Workflow With ComfyUI + Kuula.
Read This Post: Virtual Reality Flux Workflow With ComfyUI + Kuula.Link to VR tour in Kuula: https://kuula.co/share/collection/7ZlgS
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Automate your prompting with ChatGPT inside ComfyUI.
Read This Post: Automate your prompting with ChatGPT inside ComfyUI.StabilityAI released the Stable Diffusion 3.5 Large model earlier this week. It features improved performance and better image quality. This workflow also includes the Tara LLM node for automated prompt generation inside ComfyUI. Workflow: https://github.com/barkx/SD3.5-ChatGPT
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Colorful Architecture With ComfyUI and RunwayML.
Read This Post: Colorful Architecture With ComfyUI and RunwayML.ChatGPT 4o generated prompts.Text-to-image with Flux1 dev in ComfyUI.Image-to-video with Runway GEN-3 Alpha Turbo.
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Poster design with Flux + Canva.
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Read This Post: Poster design with Flux + Canva.ChatGPT 4o generated prompts.Text-to-image with Flux1 dev in ComfyUI (Lora stack node + prompt list).Postproduction with GIMP (resynthesize plugin).Canva for text animation.
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Interior Design Workflow with Depth ControlNet for FLUX 1-dev.
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Read This Post: Interior Design Workflow with Depth ControlNet for FLUX 1-dev.The FLUX 1-dev Depth ControlNet provides structural guidance in the generative process based on a depth map extracted from a single image. This model enables the generation of photorealistic images with precise control over composition, ensuring that the original image’s structure is preserved while allowing for text-guided edits.
