Instructions to use playgroundai/playground-v2.5-1024px-aesthetic with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use playgroundai/playground-v2.5-1024px-aesthetic with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("playgroundai/playground-v2.5-1024px-aesthetic", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Technical Details Request
#15
by AlekseyKorshuk - opened
Hey Playground Team,
Thanks for sharing this model with the community -- this means a lot to us π€
Is it possible that you can share with us training details such as:
- Total batch size
- Learning rate: scheduler, warmup, min/max values
- Number of training steps
- Total number of images/samples
- Optimizer hyperparams
This would give the community clear understanding of how you archived such results, so we can leverage this knowledge in our fine-tunes. I hope this is not a secret information to share π