BREAKING NEWS
LATEST POSTS
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Gaussian Splatting OFX plugin for Nuke
https://radiancefields.com/gaussian-splatting-in-nuke
https://aescripts.com/gaussian-splatting-for-nuke
Features
- Import .ply files in Nuke.
- Support Compressed .ply files from SuperSplat
- Crop with Spherical or Box shape.
- Crop with Y Plane.
- Combine up to 10 models in the scene.
- Colorize with Ramp using Spherical or Box shape.
- Reveal model with Opacity Ramp.
- Animate Splat Scale with Spherical or Box shape.
- Each model can be distorted with Noise.
- Render Depth Pass for 3D compose.
- Color correction for each model.
- Real-time with GPU
- Export scene
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ComfyUI + InstaID SDXL – Face and body swap tutorials
https://github.com/cubiq/ComfyUI_InstantID
https://github.com/cubiq/ComfyUI_InstantID/tree/main/examples
https://github.com/deepinsight/insightface
Unofficial version https://github.com/ZHO-ZHO-ZHO/ComfyUI-InstantID
Installation details under the post
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ComfyUI Tutorial Series Ep 25 – LTX Video – Fast AI Video Generator Model
https://comfyanonymous.github.io/ComfyUI_examples/ltxv
LTX-Video 2B v0.9.1 Checkpoint model
https://huggingface.co/Lightricks/LTX-Video/tree/main
More details under the post
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AI and the Law – The AI-Copyright Trap document by Carys Craig
https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4905118
“There are many good reasons to be concerned about the rise of generative AI(…). Unfortunately, there are also many good reasons to be concerned about copyright’s growing prevalence in the policy discourse around AI’s regulation. Insisting that copyright protects an exclusive right to use materials for text and data mining practices (whether for informational analysis or machine learning to train generative AI models) is likely to do more harm than good. As many others have explained, imposing copyright constraints will certainly limit competition in the AI industry, creating cost-prohibitive barriers to quality data and ensuring that only the most powerful players have the means to build the best AI tools (provoking all of the usual monopoly concerns that accompany this kind of market reality but arguably on a greater scale than ever before). It will not, however, prevent the continued development and widespread use of generative AI.”
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“(…) As Michal Shur-Ofry has explained, the technical traits of generative AI already mean that its outputs will tend towards the dominant, likely reflecting ‘a relatively narrow, mainstream view, prioritizing the popular and conventional over diverse contents and narratives.’ Perhaps, then, if the political goal is to push for equality, participation, and representation in the AI age, critics’ demands should focus not on exclusivity but inclusivity. If we want to encourage the development of ethical and responsible AI, maybe we should be asking what kind of material and training data must be included in the inputs and outputs of AI to advance that goal. Certainly, relying on copyright and the market to dictate what is in and what is out is unlikely to advance a public interest or equality-oriented agenda.”
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“If copyright is not the solution, however, it might reasonably be asked: what is? The first step to answering that question—to producing a purposively sound prescription and evidence-based prognosis, is to correctly diagnose the problem. If, as I have argued, the problem is not that AI models are being trained on copyright works without their owners’ consent, then requiring copyright owners’ consent and/or compensation for the use of their work in AI-training datasets is not the appropriate solution. (…)If the only real copyright problem is that the outputs of generative AI may be substantially similar to specific human-authored and copyright-protected works, then copyright law as we know it already provides the solution.” -
Newton’s Cradle – An AI Film By Jeff Synthesized
Narrative voice via Artlistai, News Reporter PlayAI, All other voices are V2V in Elevenlabs.
Powered by (in order of amount) ‘HailuoAI’, ‘KlingAI’ and of course some of our special source. Performance capture by ‘Runway’s Act-One’.
Edited and color graded in ‘DaVinci Resolve’. Composited with ‘After Effects’.
In this film, the ‘Newton’s Cradle’ isn’t just a symbolic object—it represents the fragile balance between control and freedom in a world where time itself is being manipulated. The oscillation of the cradle reflects the constant push and pull of power in this dystopian society. By the end of the film, we discover that this seemingly innocuous object holds the potential to disrupt the system, offering a glimmer of hope that time can be reset and balance restored. -
xinsir – controlnet-union-sdxl-1.0 examples
https://huggingface.co/xinsir/controlnet-union-sdxl-1.0
deblur
inpainting
outpainting
upscale
openpose
depthmap
canny
lineart
anime lineart
mlsd
scribble
hed
softedge
ted
segmentation
normals
openpose + canny
FEATURED POSTS
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AI and the Law – Artists Score Major Win in Copyright Case Against AI Art Generators
The court declined to dismiss copyright infringement claims against the AI companies. The order could implicate other firms that used Stable Diffusion, the AI model at issue in the case. The case will move forward to discovery, where the artists could uncover information related to the way in which the AI firms harvested copyrighted materials that were then used to train large language models.
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Guide to Prompt Engineering
The 10 most powerful techniques:
1. Communicate the Why
2. Explain the context (strategy, data)
3. Clearly state your objectives
4. Specify the key results (desired outcomes)
5. Provide an example or template
6. Define roles and use the thinking hats
7. Set constraints and limitations
8. Provide step-by-step instructions (CoT)
9. Ask to reverse-engineer the result to get a prompt
10. Use markdown or XML to clearly separate sections (e.g., examples)
Top 10 high-ROI use cases for PMs:
1. Get new product ideas
2. Identify hidden assumptions
3. Plan the right experiments
4. Summarize a customer interview
5. Summarize a meeting
6. Social listening (sentiment analysis)
7. Write user stories
8. Generate SQL queries for data analysis
9. Get help with PRD and other templates
10. Analyze your competitors
Quick prompting scheme:
1- pass an image to JoyCaption
https://www.pixelsham.com/2024/12/23/joy-caption-alpha-two-free-automatic-caption-of-images/
2- tune the caption with ChatGPT as suggested by Pixaroma:
Craft detailed prompts for Al (image/video) generation, avoiding quotation marks. When I provide a description or image, translate it into a prompt that captures a cinematic, movie-like quality, focusing on elements like scene, style, mood, lighting, and specific visual details. Ensure that the prompt evokes a rich, immersive atmosphere, emphasizing textures, depth, and realism. Always incorporate (static/slow) camera or cinematic movement to enhance the feeling of fluidity and visual storytelling. Keep the wording precise yet descriptive, directly usable, and designed to achieve a high-quality, film-inspired result.
https://www.reddit.com/r/ChatGPT/comments/139mxi3/chatgpt_created_this_guide_to_prompt_engineering/
1. Use the 80/20 principle to learn faster
Prompt: “I want to learn about [insert topic]. Identify and share the most important 20% of learnings from this topic that will help me understand 80% of it.”
2. Learn and develop any new skill
Prompt: “I want to learn/get better at [insert desired skill]. I am a complete beginner. Create a 30-day learning plan that will help a beginner like me learn and improve this skill.”
3. Summarize long documents and articles
Prompt: “Summarize the text below and give me a list of bullet points with key insights and the most important facts.” [Insert text]
4. Train ChatGPT to generate prompts for you
Prompt: “You are an AI designed to help [insert profession]. Generate a list of the 10 best prompts for yourself. The prompts should be about [insert topic].”
5. Master any new skill
Prompt: “I have 3 free days a week and 2 months. Design a crash study plan to master [insert desired skill].”
6. Simplify complex information
Prompt: “Break down [insert topic] into smaller, easier-to-understand parts. Use analogies and real-life examples to simplify the concept and make it more relatable.”
More suggestions under the post…
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