Instructions to use amayprro552/customFID with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use amayprro552/customFID with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("amayprro552/customFID", 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:
- 96b405bc180a47d2df3ee93fdb34b48cd2be3993d25512c46906a61477c90d79
- Size of remote file:
- 335 MB
- SHA256:
- 68a430f8a51413e80ecec6c13fff4b6b63e57600a2ec661a016a14fd1037fa4b
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