Instructions to use GraydientPlatformAPI/haveall-x with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GraydientPlatformAPI/haveall-x with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("GraydientPlatformAPI/haveall-x", 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:
- 8ccaa68b84b080b122ac9d22bcadcc8d4ab2e284e335552e7aec812dee5d2648
- Size of remote file:
- 246 MB
- SHA256:
- b4fcb9ca44f32140d98ddb2a03ce4e8e990d0d764630cd805976a0569c6ce36f
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