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
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by Duskfallcrew - opened
README.md
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library_name: diffusers
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pipeline_tag: text-to-image
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### 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
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library_name: diffusers
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pipeline_tag: text-to-image
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[](https://huggingface.co/spaces/Duskfallcrew/neon-isometric)
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### 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
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