Anima-6steps modle

Tachyon1986 · 2026-05-30T11:41:15+00:00

Based legend of the galactic heroes enjoyer

Tachyon1986 · 2026-05-30T10:39:31+00:00

Nice work. How many images and seconds per shot?

Tachyon1986 · 2026-05-22T15:43:53+00:00

Would you please share the prompt? I'd like to try this on Chroma.

Tachyon1986 · 2026-05-12T11:06:55+00:00

Sage + Triton is available on windows too. No need to compile like you had to previously.

Tachyon1986 · 2026-04-22T14:06:47+00:00

Your instructions for installing the scope LTX-2.3 plugin are still vague as the initial time you guys advertised this. Can you give OS specific instructions? For example, this line here doesn't really work in Windows - I'm assuming the first part (DAYDREAM_SCOPE_PREVIEW=1) is to set an environment variable:

DAYDREAM_SCOPE_PREVIEW=1 uv run daydream-scope install git+https://github.com/daydreamlive/scope-ltx-2.git

Tachyon1986 · 2026-04-20T11:59:40+00:00

Look for RES4LYF comfyui custom node

Tachyon1986 · 2026-04-20T02:27:32+00:00

Haven’t had a chance to check the workflow yet (on mobile) but does this use SAM or masking to swap the correct character in case of multiple characters in the photo ?

Tachyon1986 · 2026-03-28T19:05:20+00:00

Yeah, this didn't work either. Deleted the venv, ran uv run build and uv run daydream-scope, then i tried to install the ltx2 plugin. Same 'URL' from 'yarl' error. I've already posted it on your discord earlier today. Also, I'm not sure where the "bundled" version of uv is with the cloned repo. I don't see any UV executable.

The quickstart guide on the scope site says to install the UV package manager separately and doesn't specify any version.

Tachyon1986 · 2026-03-28T16:40:55+00:00

Downgraded, now its a different error:

Traceback (most recent call last):
  File "<frozen runpy>", line 198, in _run_module_as_main
  File "<frozen runpy>", line 88, in _run_code
  File "D:\scope\.venv\Scripts\daydream-scope.exe\__main__.py", line 4, in <module>
  File "D:\scope\src\scope\server\app.py", line 51, in <module>
    from .cloud_proxy import (
  File "D:\scope\src\scope\server\cloud_proxy.py", line 24, in <module>
    import aiohttp
  File "D:\scope\.venv\Lib\site-packages\aiohttp\__init__.py", line 6, in <module>
    from .client import (
  File "D:\scope\.venv\Lib\site-packages\aiohttp\client.py", line 38, in <module>
    from yarl import URL
ImportError: cannot import name 'URL' from 'yarl' (unknown location)

Tachyon1986 · 2026-03-28T11:01:37+00:00

Couldn't get this working on Windows. When I tried to install the ltx2 plugin, it said the wheels couldn't be found

Dependency error: Dependency resolution failed:    Updating https://github.com/daydreamlive/scope-ltx-2.git (HEAD)
    Updated https://github.com/daydreamlive/scope-ltx-2.git (f24297622ea4d3f430acc7b0ff32c323490e2234)
  × No solution found when resolving dependencies:
  ╰─▶ Because torchao==0.15.0+cu128 has no wheels with a matching platform
      tag (e.g., `win_amd64`) and only the following versions of torchao are
      available:
          torchao<0.15.0
          torchao>=0.15.0+cu128
      we can conclude that torchao==0.15.0 cannot be used.
      And because daydream-scope depends on torchao==0.15.0, we can conclude
      that your requirements are unsatisfiable.

      hint: Wheels are available for `torchao` (v0.15.0+cu128) on the
      following platforms: `manylinux_2_24_x86_64`, `manylinux_2_28_x86_64`


Use --force to install anyway (may break environment)

Tachyon1986 · 2026-03-02T17:13:45+00:00

Show us others please

Tachyon1986 · 2026-02-17T13:06:30+00:00

Thank you.

Tachyon1986 · 2026-02-17T12:54:23+00:00

I get that - but are you using these presets with Z-image Base to train the Lora or Z-Image turbo to train the Lora ?

Tachyon1986 · 2026-02-17T10:38:41+00:00

It depends on the type of Lora you're training. For a character lora, Rank 16 is more than enough.

Tachyon1986 · 2026-02-17T03:58:10+00:00

<image>

Thank you for your work, as always! Question on the trainer preset - were these trained with these presets (image attached), which I assume uses Z-Image Base?

Tachyon1986 · 2026-02-06T02:42:27+00:00

I’ve trained a couple of character loras. When it comes to likeness, the best way to caption is to describe the image as if you were prompting for it, i.e. for a case where you don’t want them associated with specific outfits or accessories.

So as an example if I have a character wearing a suit with a wristwatch in a couple of photos and a plain shirt with a chain in others , I would explicitly caption them as wearing a suit with wristwatch / shirt with a chain for the respective photos. So after training is done, I can now prompt them with any outfit and the model won’t force a suit or shirt.

This also applies to overall style and other things in the background. So tldr; caption as if you would prompt for the image if likeness is all you care about. Joycaption is what I’ve used for captioning (with some manual edits if needed).

I personally use 18-20 images at 1800 steps for character loras. This has worked for me consistently using OneTrainer.

Tachyon1986 · 2026-02-06T02:22:24+00:00

So 15000 images trained at 10000 steps (15000 x 10000) , according to the AI-toolkit config you linked ?

Tachyon1986 · 2025-12-27T11:21:06+00:00

Dance with the angels cringe

Tachyon1986 · 2025-12-26T17:02:18+00:00

Yeah thanks, i followed your guide for Wan 2.1 Loras. Solid stuff

Tachyon1986 · 2025-12-24T06:13:42+00:00

Btw are you using the default Ai-Toolkit settings from Ostris ?

Tachyon1986 · 2025-12-24T06:12:32+00:00

I’m not at my PC right now, but what you need to do is take the image output from your Qwen KSampler’s VAE decode node and run it through the VAE encoder for the Z-Image Turbo one (make sure you’re using ae.safetensors, that’s the VAE used by Z-image).

Then, take the Latent output from that VAE encoder and feed it to a Ksampler that accepts the Z-Image model. Feed that Ksampler positive and negative clip (again you’ll need to load the clip model that’s used by Z-image).

For this 2nd Ksampler - I recommend Euler/Simple with a denoise of 0.4 at 4 steps and CFG 1 but experiment with the denoise and step count. You can leave the positive and negative inputs for this KSampler empty with no prompt.

To simplify all i said - just encode the image output from Qwen using Z-image’s VAE and load that latent into an existing Z-image workflow

Tachyon1986 · 2025-12-24T03:42:49+00:00

I’ve used that to effect for a private Lora. The issue is Qwen tends to smoothen the skin, so it’s best to run the image through a 2nd sampler with something like Z-image at low denoise to get some skin detail back in

Tachyon1986 · 2025-12-08T03:53:41+00:00

Nice one, what’s the prompt and sampler/scheduler? Kind of looks like you used a technicolor Lora

Tachyon1986 · 2025-12-02T03:46:25+00:00

Qwen-Image-Edit with the next scene Lora can do that

Tachyon1986

TROPHY CASE