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
| { | |
| "_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" | |
| ] | |
| } |