Instructions to use GraydientPlatformAPI/mix14anime with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GraydientPlatformAPI/mix14anime 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/mix14anime", 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:
- 9676920c5e92ca42455752e899b6c427e170e0402f7c1c46a48e45c9bdc4e5ef
- Size of remote file:
- 1.39 GB
- SHA256:
- 1d2f06ab1d402f957a73f15a62be9590896d2566e0781ed9bca604d1a7c8eb26
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