Instructions to use kadirnar/Photoreal with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use kadirnar/Photoreal with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("kadirnar/Photoreal", 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:
- 851238dbf8d8bc8841212eb074c6ca281db482131670eae19f4840221f39bc77
- Size of remote file:
- 335 MB
- SHA256:
- 5385073e30855fe16a457bbfb21518514a41571663d3e3a20fe37459251385b4
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