Text-to-Image
Diffusers
Safetensors
English
StableDiffusionPipeline
stable-diffusion
isometric
vaporwave
Instructions to use EnD-Diffusers/Neon_Isometric with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use EnD-Diffusers/Neon_Isometric with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("EnD-Diffusers/Neon_Isometric", 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
- Local Apps
- Draw Things
- DiffusionBee
metadata
license: creativeml-openrail-m
tags:
- text-to-image
- stable-diffusion
- isometric
- vaporwave
language:
- en
library_name: diffusers
pipeline_tag: text-to-image
Neon-Isometric Dreambooth model trained by Duskfallcrew with TheLastBen's fast-DreamBooth notebook
Test the concept via A1111 Colab fast-Colab-A1111
dskise is your concept -
Sample Images Are available here
More sample images will be added to the folder with text files here:
https://huggingface.co/Duskfallcrew/neon-isometric/tree/main/Neon%20Isometric%20Concepts


