Text-to-Image
Diffusers
PyTorch
StableDiffusionPipeline
stable-diffusion
diffusion-models-class
dreambooth-hackathon
landscape
Instructions to use alkzar90/ppaine-landscape with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use alkzar90/ppaine-landscape with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("alkzar90/ppaine-landscape", dtype=torch.bfloat16, device_map="cuda") prompt = "a photo of ppaine landscape, NIKON Z FX, cinematic light, galaxy sky" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Upload structures images
Browse files
assets/structures/a-flying-futuristic-city-in-the-ppaine-landscape-ultra-realistic-technology.jpeg
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assets/structures/a-panoramic-photo-of-ppaine-landscale-with-an-Eiffel-tower-in-the-middle,-NIKON-Z-FX,-realistic,-cinematic-light.png
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