Instructions to use GraydientPlatformAPI/marv4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GraydientPlatformAPI/marv4 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/marv4", 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:
- 4e6506b2a3826690e6ebde6c856bbd3f36fb5d97f104b3a1a4e8b123d4b154a7
- Size of remote file:
- 492 MB
- SHA256:
- 2b941caa20c83a90b5a95f76932bbf343ed309dc965b89875cc49a2bcf155284
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