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:
- 9e30b0efca45d8dbd2cb46c0b081877a10644e996a0d2451488334fd7aa31164
- Size of remote file:
- 246 MB
- SHA256:
- b4962fbf0bd2d5eec3d10a8920d9dc75839a9a52534a8cd6b18c497656ca76e3
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