Instructions to use LHTAVI/wpapstyle2023 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use LHTAVI/wpapstyle2023 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("LHTAVI/wpapstyle2023", 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 Settings
- Draw Things
- DiffusionBee
Upload sample_images with huggingface_hub
Browse files- sample_images/wpapstyle_(1).png +0 -0
- sample_images/wpapstyle_(1).webp +0 -0
- sample_images/wpapstyle_(2).webp +0 -0
- sample_images/wpapstyle_(3).webp +0 -0
- sample_images/wpapstyle_(4).webp +0 -0
- sample_images/wpapstyle_(5).webp +0 -0
- sample_images/wpapstyle_(6).webp +0 -0
- sample_images/wpapstyle_(7).webp +0 -0
- sample_images/wpapstyle_(8).webp +0 -0
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