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
| license: creativeml-openrail-m | |
| tags: | |
| - text-to-image | |
| - stable-diffusion | |
| - isometric | |
| - vaporwave | |
| language: | |
| - en | |
| library_name: diffusers | |
| pipeline_tag: text-to-image | |
| [](https://huggingface.co/spaces/Duskfallcrew/neon-isometric) | |
| ### Neon-Isometric Dreambooth model trained by Duskfallcrew with [TheLastBen's fast-DreamBooth](https://colab.research.google.com/github/TheLastBen/fast-stable-diffusion/blob/main/fast-DreamBooth.ipynb) notebook | |
| Test the concept via A1111 Colab [fast-Colab-A1111](https://colab.research.google.com/github/TheLastBen/fast-stable-diffusion/blob/main/fast_stable_diffusion_AUTOMATIC1111.ipynb) | |
| dskise is your concept - | |
| # Sample Images Are available here | |
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|  | |
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| # More sample images will be added to the folder with text files here: | |
| https://huggingface.co/Duskfallcrew/neon-isometric/tree/main/Neon%20Isometric%20Concepts |