Limitless! Free, private, super fast image generator

Limitless! Free, private, super fast image generator

Most AI image models fight you when you want flaws. Krea 2 doesn't. We dig into why this open-source, locally-run model is so good at "imperfect" realism (fisheye distortion, blur, grain), then walk through setting it up in ComfyUI end to end: grabbing the template, downloading the missing models, and picking resolution by aspect ratio instead of raw pixels. It works well with text and the template workflow has built-in LoRA support! Chapters 00:00 - Krea 2 Nails "Imperfect," Realistic Images 00:51 - What Krea 2 Is 01:15 - Setting Up the Krea 2 Template in ComfyUI 02:25 - Workflow Options: Prompt Enhancement & Resolution 03:42 - First Generation: Speed Test at 1 Megapixel 04:24 - Scaling Up to 4K 04:56 - Testing Text Rendering on a Whiteboard 05:30 - Adding LoRAs for Style: The Rainy Window Example 07:01 - Wrap-Up Merch https://devilwearsproduct.shop Links Krea 2 - https://www.krea.ai/krea-2 Krea 2 Open Source - https://www.krea.ai/krea-2-open-source Krea AI LinkedIn - https://www.linkedin.com/company/krea-ai/ Krea 2 Licensing - https://www.krea.ai/krea-2-licensing Krea 2 Technical Report - https://www.krea.ai/blog/krea-2-technical-report Click here to watch a video of this episode. [https://www.youtube.com/watch?v=sSeuaMnb6CI] Find Us YouTube - https://www.youtube.com/@PandCpodcast Bluesky - https://bsky.app/profile/pandcpodcast.bsky.social X - https://x.com/_pandcpodcast Instagram - https://www.instagram.com/_pandcpodcast LinkedIn - https://www.linkedin.com/company/p-and-c-podcast

Do this to close loops with your AI agents

OpenClaw can move product monitoring from simple error alerts toward self-healing agent workflows. Ilan explains the progression and patterns to use to go from “agent notices an error and tells you,” to “agent diagnoses and recommends a fix,” to a guarded autonomous flow where agents clone, patch, test, and eventually promote fixes into production. The big idea: close the loop only as far as you trust the system, and optimize for the customer never feeling the bug. Chapters 00:00 - Why Closing the Loop Matters for AI Agents 03:00 - The Recommended Fix Flow: AI Diagnoses, Human Implements 04:00 - The Current State: Two-Model Monitoring with Human Approval 07:02 - The Fully Autonomous Flow: Clone, Test, Deploy 07:56 - Proof of Fix and What Comes Next Links OpenClaw - https://openclaw.ai n8n - https://n8n.io Click here to watch a video of this episode. [https://www.youtube.com/watch?v=7oZ0r_5Db0Q] Find Us YouTube - https://www.youtube.com/@PandCpodcast Bluesky - https://bsky.app/profile/pandcpodcast.bsky.social X - https://x.com/_pandcpodcast Instagram - https://www.instagram.com/_pandcpodcast LinkedIn - https://www.linkedin.com/company/p-and-c-podcast

Is Google Omni worth your time?

Google released Gemini Omni at Google I/O 2026 and we ran it through its paces in Google Flow to see if the hype holds up. It mostly doesn't. At least not yet. Gemini Omni is Google's new multimodal AI model, meaning one model handles text, images, audio, and video. You access it through Gemini directly or through Google Flow, and a paid Google subscription is needed. The flagship use case right now is AI video generation, so that's what we came to test. We tried uploading source footage to remix and style-transfer. The uploads stalled at 0% and never moved. Different upload path. Same result. So we switched to image-to-video: upload a photo, write a prompt, get a clip. The upload worked. The prompt didn't. Gemini Omni generated something, but it ignored the source image and went cartoonish in a direction we never asked for. Adjusting the prompt made things worse. Subscribe to Prompt and Circumstance for hands-on tests of what's actually shipping in AI. [00:00] - Intro to Google Omni [04:04] - Uploading Video [06:38] - Uploading an Image [10:57] - Conclusion LINKS Google Omni: https://deepmind.google/models/gemini-omni/ [https://deepmind.google/models/gemini-omni/] Contrast this to something more reliable: https://youtu.be/Y-Saa82qPX0 [https://youtu.be/Y-Saa82qPX0] Media links: https://pixabay.com/videos/mid-autumn-stone-staffordshire-90470/ [https://pixabay.com/videos/mid-autumn-stone-staffordshire-90470/] https://pixabay.com/videos/hiking-walking-trail-man-alone-282995/ [https://pixabay.com/videos/hiking-walking-trail-man-alone-282995/] https://pixabay.com/photos/girl-child-teenager-dog-pet-small-5087960/ [https://pixabay.com/photos/girl-child-teenager-dog-pet-small-5087960/] Video: Click here to watch a video of this episode. [https://www.youtube.com/watch?v=bBaEEl8Zps8] Devil Wears Product - https://www.devilwearsproduct.shop/ [https://www.devilwearsproduct.shop/]  #GeminiOmni #GoogleOmni #AIVideo #GoogleFlow #GoogleIO2026

Local AI Image Upscaling Workflow

David walks Ilan through a local ComfyUI workflow that chains three AI models to upscale generated images from 720p all the way to 4K, with a side mission of fixing that plastic-y AI skin look. Chapters 00:00 - Intro and what we are upscaling today 00:36 - Workflow overview and chaining three models 01:30 - Installing the ComfyUI Manager 02:30 - The download note and where models go 03:00 - Walking through CivitAI to grab the first 22GB model 05:00 - Epic Realism and SeedVR2 from ByteDance 06:00 - LoRAs, CLIP, VAEs, and refreshing node paths 08:00 - Generating the test image and loading the upscale workflow 09:30 - Running the three-pass upscale and what each model does 10:30 - Before and after at 4500 by 2500 12:00 - Final image, runtime, and going to 8K Hilarious Product Management Merch https://devilwearsproduct.shop Links Workflow: https://pastebin.com/SUtVN2Hh [https://pastebin.com/SUtVN2Hh]  Password: Prompt and Circumstance Podcast Diffusion Models (models/diffusion_models): UltraFineTune: https://civitai.com/models/978314/ultrareal-fine-tune ZEpicrealismturbo FP8: https://civitai.com/models/2305301/z-epicrealism Checkpoints (models/checkpoints): Epic Realism XL Crystal Clear: https://civitai.com/models/277058/epicrealism-xl?modelVersionId=1920523 Loras (models/loras) Aidma Realistic Skin: https://civitai.com/models/1157318/photorealistic-skin-no-plastic-flux SDXL Skin Realism: https://civitai.com/models/248951/skin-realism-acne-skin-details-imperfections-sdxl CLIP Clip_l: (models/clip) https://huggingface.co/comfyanonymous/flux_text_encoders/blob/main/clip_l.safetensors Tt5xxl fp8: (models/text_encoders) https://huggingface.co/comfyanonymous/flux_text_encoders/blob/main/t5xxl_fp8_e4m3fn.safetensors Text Encoders: Qwen 3 4b: (models/text_encoders)  https://huggingface.co/Comfy-Org/z_image_turbo/blob/main/split_files/text_encoders/qwen_3_4b.safetensors Variational Autoencoders (models/upscale_models) Flux VAE (ae.safetensors): https://huggingface.co/lovis93/testllm/blob/ed9cf1af7465cebca4649157f118e331cf2a084f/ae.safetensors Upscale Models (models/upscale_models) 4x Clear Reality: https://huggingface.co/skbhadra/ClearRealityV1/commit/bc01e27b38eec683dc6e3161dd56069c78e015ac SeedVR2 Models (models/SEEDVR2) Model: https://huggingface.co/numz/SeedVR2_comfyUI/blob/main/seedvr2_ema_3b_fp8_e4m3fn.safetensors VAE: https://huggingface.co/numz/SeedVR2_comfyUI/blob/main/ema_vae_fp16.safetensors Find Us YouTube - https://www.youtube.com/@PandCpodcast Bluesky - https://bsky.app/profile/pandcpodcast.bsky.social X - https://x.com/_pandcpodcast Instagram - https://www.instagram.com/_pandcpodcast LinkedIn - https://www.linkedin.com/company/p-and-c-podcast

OpenClaw Agent Teams

Set up a decentralized agent team in OpenClaw to complete complex tasks. We walk you through a real use case to set up a morning briefing using two agents, a researcher and a summarizer. They hand off work to each other on a schedule so you wake up to a one-minute AI news brief on your phone.   Chapters   00:00 - Intro 00:47 - Why You Need an Agent Team 02:50 - Agent Team Patterns 04:50 - Ilan's Morning Briefing Setup 08:30 - How Zoe Was Built 10:50 - Wrap-Up and Key Takeaways     Business Use Cases   - Set up a decentralized agent team in OpenClaw where each agent saves its output to a workspace file and the next agent picks it up to complete its part of the task. - Use cron jobs to schedule agents in sequence with time gaps between them, then test each agent manually before automating. - Give each agent a pop culture persona that matches the work style you want, and define a clear output contract (a saved file) so the agent knows exactly when its job is done.     Links   OpenClaw - https://openclaw.ai OpenClaw GitHub - https://github.com/openclaw/openclaw OpenClaw Docs - https://docs.openclaw.ai Agent Team Builder Skill - https://github.com/canuckamok/agents/tree/main/skills    Find Us   YouTube - https://www.youtube.com/@PandCpodcast Bluesky - https://bsky.app/profile/pandcpodcast.bsky.social X - https://x.com/_pandcpodcast Instagram - https://www.instagram.com/_pandcpodcast LinkedIn - https://www.linkedin.com/company/p-and-c-podcast * (00:00) - Intro * (01:06) - Why You Need an Agent Team * (02:52) - Agent Team Patterns * (04:43) - Ilan's Morning Briefing Setup * (08:26) - How Zoe Was Built * (11:15) - Wrap-Up & Key Takeaways