Instructions to use LiconStudio/LTX-2.3-Multiple-Subject-Reference with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use LiconStudio/LTX-2.3-Multiple-Subject-Reference with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("LiconStudio/LTX-2.3-Multiple-Subject-Reference", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
It's working great!
Ran some tests and got pretty solid results, so here are the samples. In my workflow, this is a 2-stage upscaleable version, which is now available on Civitai at https://civitai.red/models/2699584/ltx-23-multiple-subject-reference-generation-distilled-gguf-workflows
Just a heads-up on how it works: the 1st stage uses "LTX Add Video IC-LoRA Guide," and the 2nd stage uses KJnodes' "LTXVAddGuides." If you use the "LTX Add Video IC-LoRA Guide" in the 2nd stage as well, "LTXVCropGuides" fails to work, and you'll end up with leftover guides.
Ran some tests and got pretty solid results, so here are the samples. In my workflow, this is a 2-stage upscaleable version, which is now available on Civitai at https://civitai.red/models/2699212/ltx-23-multiple-subject-reference-generation-distilled-gguf-workflows
Just a heads-up on how it works: the 1st stage uses "LTX Add Video IC-LoRA Guide," and the 2nd stage uses KJnodes' "LTXVAddGuides." If you use the "LTX Add Video IC-LoRA Guide" in the 2nd stage as well, "LTXVCropGuides" fails to work, and you'll end up with leftover guides.
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ahh... I fixed the link.
ahh... I fixed the link.
Thank you , I was looking for a way to upscale for a couple days.
I hope my workflow is helpful. Also, I've migrated the workflow from Civitai to Hugging Face. https://huggingface.co/javawock7618/comfy-ltx-2.3-workflows