Instructions to use amayprro552/customModelsFID with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use amayprro552/customModelsFID 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/customModelsFID", 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:
- f0753eeccc579c49ca545a25504a99b184fe8c066b8e6a0b1f84e7a1d626e6c8
- Size of remote file:
- 492 MB
- SHA256:
- 9a9ce8416debe549369349713a653af9493baa1cfdd9fb1f3cc9cc7699396a41
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