Instructions to use siraxe/TTM_IC-lora_ltx2.3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use siraxe/TTM_IC-lora_ltx2.3 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Lightricks/LTX-2.3", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("siraxe/TTM_IC-lora_ltx2.3") prompt = "Cartoony hippo walks through the crowd, his expression shifting from thoughtful to joyful as he moves and tries to avoid a person. He then gets closer and says \"hey there\"" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- Prompt
- Cartoony hippo walks through the crowd, his expression shifting from thoughtful to joyful as he moves and tries to avoid a person. He then gets closer and says "hey there"
- Prompt
- Cartoony snowman walks through the crowd, as he moves and tries to avoid a person. He then gets closer.
IC-lora based on this idea https://github.com/time-to-move/TTM
But this one also makes cutouts cartoony.
Above example is sampled at 1.0
With Img To Video bypass and 1.0 Add Video IC-LoRA Guide node
Describe what added character does in scene , no keywords
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Lightricks/LTX-2.3