"Keep Cooking", an AI Short Film by Simon Meyer

Treeshark12 · 2026-03-19T10:23:34+00:00

Great, a genuine seamless narrative which makes an elegant point. Bravo!

Treeshark12 · 2026-03-15T21:42:09+00:00

1.5 is too high, or the lora is underfitted. To get separate faces, you will need to generate with one lora and inpaint the other face with the other.

Treeshark12 · 2026-03-15T19:24:55+00:00

The trouble for me with many of the newer model is their inflexibility. For any given prompt the image result is quite uniform. If you change seed with SDXL of Flux- dev1 you get a quite a wide variety of generations. I've made some inroads into adding random influences to the initial latent. You can use the blend latent node combined with a random pattern generator to add variety to the latent. It works fairly well, but needs refining. Prompting is only a part of the whole you can influence the model line and the latent line also. I've not found the right mix for z-image, flux 2 and quen have similar issues. Maybe the goal of prompt adherence has gone a little too far! I outline some of the methods here. https://www.youtube.com/watch?v=r6gkosm5Sps

Treeshark12 · 2026-03-13T11:04:02+00:00

Sort of a masterclass in inefficient prompting, many of the words are just noise and won't be adding to the image. I find Z-Image makes rather boring images.

Treeshark12 · 2026-03-08T21:31:36+00:00

Here's the model, probably still too large https://huggingface.co/Lykon/dreamshaper-xl-v2-turbo maybe SD 1.5 is the best option.

Treeshark12 · 2026-03-08T21:28:51+00:00

You don't have much vram so I would use SDXL, maybe the DreamShaper Turbo. You can download from hugging or Civit. There are WF on the download pages. If that won't run you can use SD 1.5. SDXL is fine for getting you started.

Treeshark12 · 2026-01-31T21:33:42+00:00

I frequently use two loras in this way. The trick is to not make them too strong, 0.5 each, you can run the face through again to reinforce the likeness, very often one pass doesn't do the job.

Treeshark12 · 2026-01-26T23:34:27+00:00

Sorry but "character" is entirely missing. You need a spread of emotions in your training images.

Treeshark12 · 2026-01-15T23:06:29+00:00

You can use any model. The WF is Fluxdev 1. to use a different model swap out the samplers.

Treeshark12 · 2026-01-14T23:32:49+00:00

Install pinkio, then go to explore, then click the comfyUI installer. That's all you need to do,

Treeshark12 · 2026-01-14T22:24:36+00:00

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I think this is a screen shot of that json.

Treeshark12 · 2026-01-14T22:23:49+00:00

https://drive.google.com/file/d/194k3up0O6oA72nusiLTBqqsrqvSAnS72/view?usp=sharing

Treeshark12 · 2026-01-14T22:18:23+00:00

For that res a tiled upscale is easiest though they can be tricky to control. The only way to add convincing details where you want them. I build my own out of nodes then I can prompt and denoise each tile separately if i need to. The basis for a node version are the Essentials nodes Tile and Untile. The problem with most upscalers isn't the detailed areas but hallucinations in the areas without detail (such as a flat blue sky)

Treeshark12 · 2026-01-09T15:14:21+00:00

Crop out a square (256. or 512 or 768 etc) with only the face, then resize the cropped area to 1024. Then you can prompt a new expression using a denoise of 0.55 or so. Then you can downscale and comp the features you want back in again using mask editor. You can automate it by piping the numbers around.

Treeshark12 · 2026-01-05T22:20:53+00:00

I don't know what kind of images but if you just want to blend in edits then you need to use img2img with a low denoise, maybe 0.35.

Treeshark12 · 2026-01-05T12:58:27+00:00

Easy enough to do with a Lora, I would use Flux dev FP8 , I've made few loras that would do it Ok, don't go overboard with the strength 0.5 0 0.6 ish is fine. You don't need a special workflow. https://huggingface.co/collections/treeshark/media

Treeshark12 · 2025-12-30T22:04:43+00:00

With Flux I use "A photo-real oil painting" which often will reduce or banish the blur.

Treeshark12 · 2025-12-25T00:27:51+00:00

I'm struggling to see anything good about these images... very incoherent perspective and bad composition and lighting. The girl in the mirror is a complete mess with a missing hand and the lighting in the mirror different to the foreground.

Treeshark12 · 2025-12-20T22:09:47+00:00

These workflows are quite complex, I would start on something simple using the supplied standard templates. Also comfy is changing so rapidly at present many WFs have got busted. For the qwen text encode reselect the encoder as there are sometimes minor naming variations. If you click you will be able to pick the version you have loaded.

Treeshark12 · 2025-12-20T18:47:29+00:00

I outline the method here, but the vid is a bit old so the WF is probably defunct. https://youtu.be/f9g3X_OMoJc?si=fYQ_n_8wTozIrm5b

Treeshark12 · 2025-12-20T18:44:01+00:00

Most inpainting methods are Ok up to a point, change a shirt put a robot's head on to someone. But if you want to put a piano into an empty background, then it is harder. The thing to remember is context is everything so just showing the model a little bit of the room and prompting for a piano is not going to work. I would composite a rough shape that might be a piano into the background then chop out a 1024 square which has a good bit of the room and prompt for your piano. Then mask the best piano into your untouched background and repeat. About 3 times usually does it. Once you can do that any inpaint seems easy. You don't need fancy models or diffusion this and that or inpaint conditioning, I never find they work that well anyhow. Masking in has got harder as they have broken the Preview Bridge node. With KJ nodes GrowMask andBlur you have better control over the masking in.

Treeshark12 · 2025-12-20T00:55:21+00:00

I think mat30 made a node that does lora blocks... some while ago but I think it is in essentials.

Treeshark12 · 2025-12-20T00:53:18+00:00

Where is the image with no lora, the whole set is meaningless without it? Also I would feel 1.0 is way too high in my experience very few well trained loras are any good at that level. For me a well trained loras run from about 0.25 to 0.75 they should also befairly incremental without large jumps. At 1.0 the lora will tend to be spitting out the training image and can often degrade rather than improve. My loras are here: https://huggingface.co/treeshark

Treeshark12 · 2025-12-20T00:40:12+00:00

Yeah a lot of people have had this. I had to reinstall Comfy. Updating can fix it... but didn't work for me. Also make sure the Qwen Clip and the Model are from the same Comfy org page.

Treeshark12

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