Instructions to use fblues/an with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use fblues/an with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("fblues/an", 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:
- 0a80e759b3741ef1f106c8d2097e6c5cfbc94afec2070ac28540826d7d6d739a
- Size of remote file:
- 246 MB
- SHA256:
- 082656b274e5ca6099cf9517ceacd0016a0dc4c66f9f23163332fc64831747a1
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