Instructions to use GraydientPlatformAPI/dr-mfcg-cyber with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GraydientPlatformAPI/dr-mfcg-cyber 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/dr-mfcg-cyber", 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:
- 34a5fa23db53301a19a22193163ce71afa681279ee5aea80bc9cc54f8bf22557
- Size of remote file:
- 1.39 GB
- SHA256:
- a40c8eef4fef0690fb0603a0081b8a53a6dca33c0c585f3a2dc5a68e0a0f2dfb
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