Instructions to use Muapi/artemis-ready-player-one-ltx-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use Muapi/artemis-ready-player-one-ltx-2 with Diffusers:

pip install -U diffusers transformers accelerate

import torch
from diffusers import DiffusionPipeline
from diffusers.utils import export_to_video

# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("Lightricks/LTX-Video", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("Muapi/artemis-ready-player-one-ltx-2")

prompt = "A man with short gray hair plays a red electric guitar."

output = pipe(prompt=prompt).frames[0]
export_to_video(output, "output.mp4")

LTX-2

How to use Muapi/artemis-ready-player-one-ltx-2 with LTX-2:

# Install the LTX-2 pipelines
git clone https://github.com/Lightricks/LTX-2.git
cd LTX-2
uv sync --frozen

# Download the weights from this repo, plus the Gemma text encoder
hf download Muapi/artemis-ready-player-one-ltx-2 --local-dir models/artemis-ready-player-one-ltx-2
hf download google/gemma-3-12b-it-qat-q4_0-unquantized --local-dir models/gemma-3-12b

# Text/image-to-video with the LoRA on the HQ two-stage base pipeline
uv run python -m ltx_pipelines.ti2vid_two_stages_hq \
    --checkpoint-path path/to/checkpoint.safetensors \
    --distilled-lora path/to/distilled_lora.safetensors 0.8 \
    --spatial-upsampler-path path/to/spatial_upsampler.safetensors \
    --gemma-root models/gemma-3-12b \
    --lora models/artemis-ready-player-one-ltx-2/<weights>.safetensors 1.0 \
    --prompt "your prompt here" \
    --output-path output.mp4
# For image-to-video, add: --image path/to/image.jpg 0 0.8

Notebooks
Google Colab
Kaggle
Local Apps Settings
Draw Things

artemis-ready-player-one-ltx-2

Commit History

May 26

03:12
Add Artemis (Ready Player One) - LTX-2

Muapi

Verified signature
6be8812
03:11
initial commit

Muapi

Verified signature
31bb0a2

Commit History

May 26

Add Artemis (Ready Player One) - LTX-2

initial commit