Instructions to use GraydientPlatformAPI/meichidarkreloaded2l with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GraydientPlatformAPI/meichidarkreloaded2l 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/meichidarkreloaded2l", 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:
- 767e3729db723d617371fa1e0bd5eb1f0436da57556ea6d9c0c9af68b2bfe59b
- Size of remote file:
- 1.39 GB
- SHA256:
- c4ed59c02fec26a0dd95b4744bc6561bf5133b919224c1b810aea73f98a4a366
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