Instructions to use GraydientPlatformAPI/fasercore_animerV1DMD2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GraydientPlatformAPI/fasercore_animerV1DMD2 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/fasercore_animerV1DMD2", 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:
- 0cbd2d02359c1e9dee4f70b3b85e17d36a66fe362e52d35794a3ab2ddfa827fe
- Size of remote file:
- 246 MB
- SHA256:
- fa629d2728c309b99ad7f4c37495bf445acbcd912a58ad47742fd997b1eefc00
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