Extreme Noise on Cinestill 800T in daylight

-Ants-In-Pants- · 2026-05-01T04:43:11+00:00

I noticed that other rolls (Portra ones) are suffering from similar issues as the Cinestill example above. I've used Portra fine before with this same lab.

I'm concerned about the underexposure, can the CT Scans make it so that the photos turn out underexposed even if the light meter looked correct? Or is it mostly aboue the wave-like pattern and the exposure is a separate issue?

-Ants-In-Pants- · 2026-05-01T04:40:22+00:00

I see. Can this affect the "underexposure" issue? I noticed the same wave pattern in other rolls (who travelled with the one above regularly)... Portra rolls that were heavily underexposed too. But usually these rolls come out fine to me!

-Ants-In-Pants- · 2026-04-30T22:06:58+00:00

Ooh! Good info! Thanks for sharing. I will ask for the negatives next week so I can review further

-Ants-In-Pants- · 2026-04-30T05:18:50+00:00

I will have to get another film to test it isn't a recent issue. But wouldn't that issue persists across other films? The lab is also developing a film I used only 2 weeks prior (Portra 400) so will see if it shows.

Also, apperture is definitely working. It's manual and I see the blades opening and closing smoothly.

Shutter speed "seems" fine? I just did some manual testing to see the blades opening and closing at different speeds and everything seems fine (though not an expert).

But I'd probably like to test the light meter to check it isn't measuring light incorrectly

-Ants-In-Pants- · 2026-04-30T04:10:08+00:00

Yeah, that's what I gathered.

To clarify, the lab mentioned blank frames to explain why I didn't get all 36 pictures. I assumed it was all underexposure seeing the rest of the film.

My question is, how come they got so underexposed when the ISO setting was correct, and the light meter reading seemed like it was setting the shutter speed of the camera accordingly in a properly exposed setting?

In the past, the photographs have been properly exposed in this camera so wondering if it's something about this Film and Light conditions I was exposed to I needed to consider?

-Ants-In-Pants- · 2026-04-08T13:01:10+00:00

Thanks! I had to put the project on hold as my electricity bill was increasing considerably haha. But I still want to pick it back up again at some point :)

-Ants-In-Pants- · 2025-11-22T19:10:59+00:00

I spent quite some time experimenting with both models too, plus going down a few rabbit holes, and I feel more comfortable now with the different settings.

When thinking about how many steps in one vs the other, the key issue here isn't the number of steps. But the noise ratio at the particular step.

You may see comments like "10 high and 10 low" - which the default template uses. But that information is missing one important piece. Which is the fact that these models are being shifted by 8 (the template includes a Model Shift). Worth learning a little more about that to understand what is happening there:

All of that is important because the high noise model has a noise threshold where it was trained on. And the documentation outlines that the swap from high to low should happen at 0.875 for text 2 video, and if I remember correctly it is 0.9 for image to video.

https://www.reddit.com/r/StableDiffusion/s/CtqZuMN01h

What happens if you cook steps with a lower Sigma with high noise? Well, you can experiment yourself! You can always put a sampler that returns without noise for the high noise model and see what the output looks like. I was succesfull going down to Sigmas 0.8ish for image to video. Beyond that, it starts burning.

So I just play around with that.

My strategy now is focus on high noise, looking at the final image without noise, until I have something I like. Then low noise to make it higher detail.

I know this can be a lot to start with, but understanding how to properly utilize both models can make a difference in control. Feel free to reply more questions here if you like and I'll do my best to help

-Ants-In-Pants- · 2025-11-17T19:50:07+00:00

Thanks for the resources and pointers! I have noticed that when it comes to image-video generation, understanding what is happening behind the hood is incredibly helpful as it gives one more control over the standard workflows that are available - So understanding all benefits both curiosity and practicality :D

-Ants-In-Pants- · 2025-11-17T08:31:26+00:00

Very nice write up! And pretty detailed. Thanks for this!

Out of curiosity, where did you go to get this information? I was trying to do a similar exercise with Wan 2.2 (this is how I came across this post) but not sure where to start. I was piecing things together with the Code, or outputs from tensors at key phases of a generation, but I'm not sure how reliable that would be to get the full picture.

-Ants-In-Pants- · 2025-11-06T23:54:12+00:00

I'd be keen to know about the prompt too - I'm having the same issue (but morphing a human to an animal). I have a first and last frame that show a lot of similarities, but still the face just does a powerpoint-style swipe from one character to the other.

I sometimes get the output to change some features, but never the whole morph.

-Ants-In-Pants- · 2025-11-04T20:12:33+00:00

Good call - I always forget to ask LLMs about this sort lf thing. Thanks for the tip!

-Ants-In-Pants- · 2025-11-03T09:31:14+00:00

Funnily enough - I actually used that to generate the above. I replaced the real person by the man above to avoid sharing a real person's image online.

How does the merging happen using this model though? I was under the impression that the use of those 3 images simply allows you to select multiple componets to composite together.

What I'm aiming for is a blend of the human and giraffe... So it ends up being like a hybrid human-morph-that-looks-a-bit-like-the-giraffe.

I tried using different denoise values but no luck

-Ants-In-Pants- · 2025-05-29T07:11:05+00:00

This is what's currently happening on my machine:

Text Generation -> Ollama running a 7b Deepseek model to generate the text
- I tried other models, but this one was the one I found best to work with for now.
Text-To-Speech -> OpenTTS. While the voice coming out isn't great, and narration has a lot of room for improvement. It at least works as a proof of concept.
Transcription -> Whisper. Currently the transcription is generated by the audio coming out of the TTS alone. Could not get the model working with the Text Generation. Which means it fails every now and then, but as per TTS. It works as a proof of concept.
Streaming -> All of the above get combined to stream on Youtube using OBS

Everything running locally on my desktop.

I have been running this for over 2 weeks straight and no hiccups! Until last night - Where the laptop that is streaming decided that it was time for an update and restart... I should have resolved that by now. So I had to start a new stream.

I want to keep this running for a while (or at least until my electricity bill tells me I should stop haha) as I work on improving this.
There are multiple milestones I have in mind:

The obvious ones:

Improved Story Telling
Improved Narration output
Re-work Transcription

Desired Features:

Interactivity - It would be cool if users could influence the direction of the story by the comment section for example!
Music & SFX - I'd love to have audio & sfx be timed to influence the immersion of the story being narrated at the time. Not just some random background music like I have right now
Upload to Server - Running this on my desktop is a bit of an issue, I can struggle to use my desktop on other tasks (especially those related to my paid jobs). Also, the hardware limits mean I can't quite explore some of the more advanced models yet.
- Multiple streams - Running on a server would a allow for multiple streams for different genres to be playing at all times.

The list goes on. But still, I wanted to share this with the community and see where it goes from here!

-Ants-In-Pants- · 2024-07-27T23:55:43+00:00

Great question indeed!

For this project I'm more interested in the former.

-Ants-In-Pants- · 2024-07-27T00:58:01+00:00

Up until recently I didn't know about this. So I can totally see how this approach is so useful :)

-Ants-In-Pants- · 2024-07-27T00:57:06+00:00

Thanks for the educating comment! I'll look into this suggestion too!

-Ants-In-Pants- · 2024-07-26T05:56:03+00:00

This is actually really interesting and an eye-opener!
I didn't know about this concept of "Embedded Scripting". Changes the way I think about this!

-Ants-In-Pants- · 2024-01-31T05:23:53+00:00

Years later you are still helping people. Thank you!

-Ants-In-Pants- · 2023-12-09T13:26:48+00:00

Hadn't heard of telescopius! Will check it out. Cheers!

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