Instructions to use imperatrona/epicPhotoGasm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use imperatrona/epicPhotoGasm with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("imperatrona/epicPhotoGasm", 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:
- b1e717b5ea4e6ba614d63ece26a9a582d92951db790b34760cb3ea595def9b8f
- Size of remote file:
- 335 MB
- SHA256:
- 984a20ee0d0a72d67bf44c74f296daacde2c7d41114cc460aef1666982d23fcc
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