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
- Xet hash:
- 7119f9652b29100196e0876975b7242f39c2a644345cbc0989a26385a25fdd07
- Size of remote file:
- 3.44 GB
- SHA256:
- 0ad950f623225f6a083748e72d104d65a596f605661d7a79a5d5e3ba81582e88
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