Instructions to use alkzar90/ddpo-over50-celebahq-256 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use alkzar90/ddpo-over50-celebahq-256 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("alkzar90/ddpo-over50-celebahq-256", 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
- Xet hash:
- b6bc06687940ab35aed4da62e38dfc5bb0007d688e452b913cbc1e23add2dbfa
- Size of remote file:
- 455 MB
- SHA256:
- c6abf1a3ca6bce7aa360197930b26083d569ff99cda229b4aef02a65c968cbd7
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