Instructions to use ramu0e/diffusion-latent-action-model-final with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ramu0e/diffusion-latent-action-model-final with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("ramu0e/diffusion-latent-action-model-final", 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
File size: 342 Bytes
7c2131c | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 | {
"_class_name": "LAMPipeline",
"_diffusers_version": "0.32.0",
"lam": [
"vll.models.lam.modeling_lam",
"LAMModel"
],
"processor": [
"vll.models.lam.processing_lam",
"LAMProcessor"
],
"scheduler": [
"diffusers",
"FlowMatchEulerDiscreteScheduler"
],
"vae": [
"diffusers",
"AutoencoderKL"
]
} |