Instructions to use EarthnDusk/IsometricFuture with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use EarthnDusk/IsometricFuture with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("EarthnDusk/IsometricFuture", 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: 286 Bytes
22c1569 0e1e843 22c1569 0e1e843 | 1 2 3 4 5 6 7 8 9 10 | ---
license: creativeml-openrail-m
language:
- en
library_name: diffusers
---
# Isometric Futures
Sadly this is not a diffusers one trained at hugging face and we don't understand how to import that stuff yet.
But this is trained via https://github.com/TheLastBen/fast-stable-diffusion |