import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("akshan-main/tiny-ltx-modular-pipe", torch_dtype=torch.bfloat16, device_map="cuda")
prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
image = pipe(prompt).images[0]Tiny LTX Modular Pipeline (Testing)
Tiny model for CI testing of the LTX modular pipeline. Not for inference.
Components: T5EncoderModel (32 dim), LTXVideoTransformer3DModel (32 dim, 1 layer), AutoencoderKLLTXVideo (32 channels, 1 block), FlowMatchEulerDiscreteScheduler.
Used by: tests/modular_pipelines/ltx/test_modular_pipeline_ltx.py
- Downloads last month
- 12
Inference Providers NEW
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support