Instructions to use easylearning/FutureWorlds with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use easylearning/FutureWorlds with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("easylearning/FutureWorlds", 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: 445 Bytes
64b9802 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 | [build-system]
requires = ["setuptools>=68"]
build-backend = "setuptools.build_meta"
[project]
name = "futureworlds"
version = "0.1.0.dev0"
description = "Memory-conditioned search and post-training for robotic world models"
requires-python = ">=3.9"
dependencies = ["numpy", "torch>=2.1", "transformers>=4.45,<5", "safetensors"]
[project.optional-dependencies]
hub = ["huggingface_hub>=0.34"]
[tool.setuptools.packages.find]
where = ["src"]
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