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
| { | |
| "encoder_height": 224, | |
| "encoder_width": 304, | |
| "height": 480, | |
| "processor_class": "LAMProcessor", | |
| "vae_scale_factor": 8, | |
| "width": 640 | |
| } |