r/aifilmmaking

I made a small ComfyUI workflow for creating multi angle reference sheets from a single input image.

The main use case is character sheets. You give it one character image, and the workflow tries to generate multiple consistent views like front three quarter, side profile, rear view, rear three quarter, high angle, low angle, and a close detail view. The goal is to keep the same face, outfit, pose, expression, proportions, and general design while only changing the camera angle.

I built it mostly with native ComfyUI nodes. The only non native part, as far as I remember, is the GGUF loader. The prompts are written in a generic way, so it can also work for people, props, vehicles, creatures, or objects, but I mainly made it for character sheet generation.

I tested it with the Flux 2 Klein 4B Q4 GGUF model because I currently have access to only 4 GB VRAM. For such a small setup, it is giving acceptable results. It is not perfect, especially with difficult rear views or fine clothing continuity, but it is usable for blocking out reference angles and building rough character sheets.

I expect the 9B variant to give much better consistency and detail, especially for faces, costume continuity, proportions, and rear view inference.

This is not meant to be a final polished character turnaround solution. It is more of a practical workflow for quickly getting usable angle references from one image, especially when working with AI video, inpainting, first frame last frame generation, or character continuity.

Sharing it in case it is useful to anyone experimenting with Flux 2 Klein on low VRAM setups.

https://pastebin.com/EyRM0zed

https://preview.redd.it/y8v7v06d4o2h1.png?width=5824&format=png&auto=webp&s=3d7acb275bf8652b68501e9efb33af7d324e75ca

The 17th episode of a fantasy series I'm doing. This one is shorter than the last few. More of an interlude. I generated my start frames in GPT Image 2.0 and animated in Seedance 2.0. I denoised them with Topaz this time vs running them through wonder3... feels overly sharp to me. I prefer wonder3 to denoising.

Here is a link to the series if anyone is interested: https://www.youtube.com/playlist?list=PLih3VH0QoKPSFsRT580T3knxjntifoqsU

Honors graduate of the University of Utah’s graduate film production program. With 12+ years crafting real films, this is my first AI short film. Hope you enjoy!

I want to learn ai filmmaking from scratch and if i can get video tutorials and or some can guide me and first i want to start free then take it to another level …Some please guide me with vidoe tutorial or i can work as an intern to learn from someone good at it

I think AI generated videos have an internal way to identify them as such, that's right to me, but what about those huge character watermarks which are displayed at screen corners? These watermarks spoil the final results. How to remove them efficiently?

Port Isaac Series:

Set in the weathered fishing village of Port Isaac on the rugged northern coast of Cornwall, Port Isaac is a meditative anthology series about ordinary lives brushed by the unexplained. Across narrow stone lanes, storm-beaten harbors, and cliffside paths swallowed by sea mist, the village quietly collects its own folklore — stories passed between generations like salt on the wind.

Each short episode drifts between memory and myth, where loneliness, beauty, grief, and wonder linger just beneath the surface of everyday life. The sea remembers everything here. And sometimes, the village does too.

Episode 1 | "Everlasting Sun" | Synopsis (*Spoiler Warning*):

The story centers on a strange man that enters the town at night. He draws a sun in chalk at different places in Port Isaac. In the morning the locals are bewildered and confused why an adult is doing this. Soon there is a heavy rainstorm. Miraculously, the chalk drawings withstand the rain and cannot be erased. The locals call it magic and the children play in the sun drawn areas. The mysterious stranger leaves without spilling his secrets, and the locals remember him as a folk lore legend.

Hope you guys enjoy the show, I had a fantastic time making it!

Been beta testing capcut video studio for a while. Wanted to see how it holds up to a professional eye so I showed 5 clips to a friend who's a working DP. Didn't tell him they were AI.

He critiqued the color grading on one clip. Said the lighting in another looked like it was shot during magic hour with a diffusion filter. Asked what lens I used on the third one.

Then I told him. Long pause. He watched them again and said he could see it on the second watch but admitted first pass he had no idea.

A year ago this would not have been possible.

In this segment of The Hotsheet Podcast, we dive deep into what it actually looks like to produce a fully AI-generated short film — from scripting to visuals to final delivery — and where human creativity still matters most.

After years working in documentary and reality TV, this filmmaker set out to create a 5-minute project using AI in every stage of the process. No interviews. No archival. Just AI.
But here’s the truth: AI isn’t replacing filmmakers — it’s becoming a creative partner.

Has anyone budgeted out producing an “independent” full length movie with Ai? (An animated movie as opposed to cgi versions)

As in, paying for 4-5 freelance people for 2-3 months or so? Paying for the enterprise version of one of the Ai studio software programs.

Would anyone be interested in collaborating or at least brainstorming what it would take?

a client saw some viral ai videos and now they want me to generate a full thirty second commercial using a specific ai generated spokesperson the problem is they want the exact same face and clothing across eight different camera angles and lighting setups i have been trying to stitch this together using character references and prompt weighting but the guy looks like six different cousins by the end of the edit how is anyone actually locking in an identity for commercial work without it turning into a morphing nightmare

With the current direction AI is heading—especially in text-to-video generation as of March 2026—how far are we from a point where someone could simply fund an AI system and generate a full-length, Hollywood-quality movie (say 1.5 to 4 hours long) entirely from a prompt?

Taking this further: how close are we to the average person being able to fully recreate or rewrite existing works? For example, generating an entirely new version of Game of Thrones Season 8, or recreating entire book series like Dune—but with original or unknown actors, while maintaining a level of realism and quality that feels indistinguishable from professional productions.

At what point does this become so advanced that it genuinely threatens—or even replaces—traditional Hollywood filmmaking?

In the future there will be a Netflix-type service where the average viewer can prompt their own full length AI movies, not just short clips or gimmicky experiments, but sprawling cinematic experiences generated on demand from a single sentence. A person will type “a slow-burn cyberpunk noir set in a flooded Tokyo with the emotional tone of grief and reconciliation,” and within minutes an entirely original film will exist: actors synthesized from pure imagination, soundtracks dynamically composed, camera movements intelligently directed, dialogue rewritten in real time depending on audience reactions.

The strange part is not that the technology will exist, but that audiences will quickly normalize it. Entire generations will grow up expecting entertainment to adapt to them personally rather than consuming a static piece of media created for millions. The line between filmmaker and viewer will blur into something unrecognizable. People will binge worlds instead of shows, endlessly reshaping stories, changing endings, resurrecting characters, inserting themselves into narratives, or generating impossible collaborations between genres and eras.

Traditional filmmaking will still survive as an art form, much like theater survived cinema, but mass entertainment will increasingly become interactive dream synthesis: personalized movies generated instantly at industrial scale. The future streaming war may not be about who owns the best franchises, but who owns the most powerful imagination engine.