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:
- 7d9090ec9968d2227839c37b75a100d6bcf61400ddc192fbe21854303cd0a263
- Size of remote file:
- 335 MB
- SHA256:
- bd89d3a131fddaf50720a53c428d24514b972abb12be7f3613c75d893c891183
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