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I'd be more concerned with a himars strike than a copyright one :D

Hi, God bless you with your amazing work, I love the open source community and frontrunner heroes like you that make normal people's lives much easier, I am hoping your prompt agent could run locally, because I personally can't get any cloud subscriptions, and it is something that I seriously need, is it possible to run it locally? A video on it could be great, love your channel, ❤

Audioreactive sounds mega!! Many thanks amigo!,❤️🇲🇽❤️

Great video.

did some testing with this and noticed that higher number of steps like 50-70 help fast moving scenes.

For your holo environment, is that with an Anthropic Pro subscription?

Thank's, man! Can't wait to try your version of audioreactive workflow!!

I think I'll wait for a simpler way to use Mochi :)

you could try using "ComfyUI-GIMM-VFI" to interpolate between beginning and end frame.

Nice beats in the background

Would a first frame selector node warren existence?

😂😂😂😂 2:58:00 i die 😂😂😂😂

It would be cool if you opened a discord server where people could discuss their projects and problems

A little explanation on base shift and max shift for anyone looking to play with that: Base shift is a small, consistent adjustment that stabilizes the image generation process, while max shift is the maximum allowable change to the latent vectors, preventing extreme deviations in the output. Together, these parameters balance stability and flexibility in image generation. Using a bird as an example: Increasing Base Shift: Raising the base shift results in a more consistent and stable depiction of the bird. For instance, the image might consistently show a bird with clear, well-defined features such as a distinct beak, feathers, and wings. However, this increased stability could lead to less variation, making the bird’s appearance feel repetitive or overly uniform. Decreasing Base Shift: Lowering the base shift allows for more subtle variations and intricate details, like nuanced patterns in the bird’s feathers or unique postures. However, this added variability might make the bird’s image less stable, with occasional irregularities or minor distortions. Increasing Max Shift: A higher max shift enables the model to explore the latent space more freely, leading to creative or exaggerated interpretations of the bird. For example, the bird might develop surreal colors, elongated wings, or fantastical plumage, but it risks straying far from a realistic bird representation. Decreasing Max Shift: Reducing the max shift tightly constrains the model, resulting in a more controlled and realistic depiction of the bird. The image is likely to stay close to a conventional bird appearance, but it might lack creative or distinctive elements that make the bird unique or captivating.

As I tried it today (updating ComfyUI and installing LTXV) I discovered that it downgrades the transfomers module from 4.45 to 4.44 which broke my system.

Thank you for presenting this stunning LTX model. Try right now out

What Vram is required to run this ? Or is it one of those that needs RTX 4090 to run locally ?

What software do you use to create the white moving avatar bro . Thanks

so what is the longest you got it to do? can you do 30 seconds?

Hi thanks for all your work. I will test it today. Will leave some review videos on civitai when I get it to work.

We need more people like you in the world.

This is fast, but we need to be able to control the strength of the latents and images.

its great and all but is it 8 vram crash proof

Another 8-12 months and these obscure interfaces will start to go away in favor of far more intuitive controls and production friendly ways to create video.

THIS IS NOT HUGE....I tested half the day and all night....and no way this even comes close to what commercial platforms are able to offer....the only thing they do better is faster renders but the quality and prompt adherence is pure shite! Not to mention it is far too early to be claiming something that has unfriendly UX is going to be huge or is the next best thing.... Disingenuous, at best; dishonest, at worst.

This is HUGE! Thanks for being a hero in the community and showing us how powerful local video gen could be!

Anyone got their vid2vid in comfy working?

These companies need to roll out this stuff more gradually-these constant dopamine spikes are wrecking my sleep! Oh, and don't think we forgot-you still owe us that deep dive into flux tools. 😉

❤thank You sir

I had to update from the batch file in the updates folder (comfyui) and then the custom nodes finally installed correctly. Simply using the built in update everything button in manager did not work.

I think the model is trained at 25 also I've been getting 5 seconds no problem however have to do 3 seconds whenever I change the prompt

i was never interested in local models until this came out im going to find the best settings and squeeze every last thing of this goldmine

Could you create a video that explains all the basic parameters and what they affect? Examples would be great because written articles often don't have any and trying them with slow GPU is just very slow way to learn. I have learned by trial and error what for example CFG does but still don't fully understand its interactions with other node parameters.

Hi , is this mocap that you're using realtime?

Your workflows don't load

Excellent video, I'm completely new but people like you make it trivial get going. I just put both checkpoints in my stable diffusion folder so Data/Models/StableDiffusion/<checkpoints_here> and it worked fine. I'm running on a laptop with a 3070 integrated GPU and it works pretty well. Anyway thanks for the tutorial

Unfortunately, they are also limited to non-commercial use as the unofficial controlnets and loras. We need someone to port them to flux-schnell legally.

Thanks for a well explained but short video with no fluff. Liked & subscribed. Plus thanks for sharing your workflows.

Thanks for your video and your tricks !

Cool ... thank you very much for your fast approach to the new flux tools! It's getting difficult to keep track of all these new developments. And harddisks are always (!) way too small!^^

Thanks for the video - helpful!

thank

Which of the 726 links in the video description actually lead to the workflow from the video?

*Exploring FLUX1 Passive Detailers for Enhanced AI Image Generation* * *0:03** Introduction to Passive Detailers:* Passive Detailers are Lora (latent text-to-image representations) models that refine generated images without requiring specific prompt triggers. They subtly influence the style and details of the output. * *0:07** Thora Anime Model Example:* The video demonstrates the impact of four Passive Detailers (Not The True World, Abstract Chaos, Electron Microscopy, Genesis Flux) on a custom Thora anime model. * *0:43** Detailer Effects:* Each detailer has a unique effect: * Not The True World enhances sharpness and detail. * Abstract Chaos creates a more natural, albeit sometimes overexposed, lighting effect. * Electron Microscopy aims for a soft-focus, macro photography style. * Genesis Flux introduces subtle fractalization, especially noticeable in neon lighting and glows. * *2:56** Consistent Character with Variations:* Detailers modify the image's style and details without significantly altering the core subject (e.g., the Thora character). * *3:45** Passive vs. Active Detailers:* Passive Detailers operate without prompt triggers, but they can be made "active" by including their trigger word in the prompt, resulting in a more pronounced effect. * *14:50** Detailers Without Character Lora:* Passive Detailers can be used even without a character Lora, directly influencing the base FLUX1 model's output. * *15:50** Stronger Effects Without Character Lora:* When used without a character Lora, the effects of the detailers are more pronounced as they are not balanced against another Lora. * *18:10** Organic and Fractal Detailers:* Electron Microscopy tends to introduce more organic or biological details, while Genesis Flux emphasizes fractal patterns. * *22:02** Recommendation:* The video encourages viewers to experiment with the four detailers to discover their unique effects and how they can be applied to enhance AI image generation. * *22:18** Accessing Detailers:* Links to the detailers are provided in the video description and in an article on the FiveBelowFiveUK CivitAI profile. I used gemini-1.5-pro-exp-0827 on rocketrecap dot com to summarize the transcript. Cost (if I didn't use the free tier): $0.03 Input tokens: 21454 Output tokens: 465

*Tips and Tricks for Streamlining Flux Lora Model Testing in ComfyUI* * *0:03** Introduction:* The video focuses on speeding up the process of testing LoRA models trained using various methods. * *0:27** Prompt Automation:* The creator recommends using a "caption collector" tool to create a prompt list from the training dataset. This allows for automated testing with prompts relevant to the training data using custom nodes like "zenai prompt V2" in ComfyUI. * *2:09** Organizing Intermediates:* Create a folder (starting with "A" for easy access) to store intermediate LoRA models (e.g., Epoch 3 through 10). * *2:40** Workflow Overview:* The demonstrated workflow uses the same seed, prompt, base model, and settings for each run, only changing the intermediate LoRA model (Epoch) to ensure a fair comparison. * *3:32** Default Settings:* The example uses Flux Schnell, T5 clip, 12 steps, Euler a sampler, and a CFG of 3.5. * *4:04** Image Comparison:* The workflow utilizes "CR image compare" nodes to create comparison charts of different Epoch outputs, visually highlighting the differences between them. * *5:37** Accuracy vs. Aesthetics:* The creator emphasizes the choice between prioritizing accuracy to the training dataset or the overall aesthetic appeal of the generated images, noting that the best-looking image may not always be the most accurate. * *6:16** Epoch Selection:* The creator suggests that Epochs 1 and 2 often have a strong bias towards the base model. They generally recommend Epochs 4-7 for good image quality and 8-9 for accuracy to the training data. * *7:00** Utilizing Different Clip Encoders:* The workflow can be modified to use the full T5 clip encoder for potentially better results, although it can increase processing time. * *17:52** Verifying LoRA File Integrity:* It's crucial to ensure that all downloaded intermediate LoRA files are the same size to avoid errors caused by incomplete downloads. * *18:37** Sequential Queuing:* To ensure a strictly sequential processing order, it's recommended to wait for the current queue to complete before adding more jobs from different tabs. * *20:47** Early Epoch Considerations:* Early Epochs might produce visually appealing results due to a stronger influence of the base model, but they might not accurately reflect the learned features of the LoRA. * *24:33** Identifying Outliers:* Be aware of outlier images that deviate significantly from the expected output. These can be caused by various factors and might not represent the overall performance of a particular Epoch. * *34:50** Raw Shacks Clip Exploit:* The creator briefly mentions a technique they call the "Raw Shacks Clip Exploit" or "Vision Game of Telephone" which involves using abstract images and intentionally misleading captions to create unique artistic styles. * *40:54** Maintaining Consistent Comparisons:* Avoid changing generation settings (CFG, steps, samplers, etc.) between Epoch comparisons to ensure a fair assessment of the LoRA's impact. I used gemini-1.5-pro-exp-0827 on rocketrecap dot com to summarize the transcript. Cost (if I didn't use the free tier): $0.03 Input tokens: 24361 Output tokens: 670

oooooooooooooooooooooooooo very nice

Great video with a ton of great information! Thank you for sharing! Jason

I feel like I'm graduating from ChatGPT to Claude for code writing. I've been working on reverse engineering Character AI style websites. I've rented an A4000, running Koboldcpp API , and RVC-TTS-API. I've deployed a web server on a different host routed it all through my domain. I've got the landing page with a grid of characters that I can click through into a chat. Voice chat and TTS are toggle-able. Thanks Claude!

Do a video on 40K.groxy image generation 😗..