Instructions to use WickTech/ImagineAI with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use WickTech/ImagineAI with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("WickTech/ImagineAI", 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
- Xet hash:
- 671d514543b912b9ce272cc36af8a8bd3589670f3099102faabaa2852a4e735d
- Size of remote file:
- 492 MB
- SHA256:
- 75395b3494ae39601bf71f681819dde0a114524ae6e3e8eebcc94c9acb9d81aa
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