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
Please share image captioning method
#7
by Vigilence - opened
Hello! Thank you for sharing your models.
I would like to know if the method for captioning the data set images can also be shared. How we should go about it, what vllm models were used, or if everything was hand captioned, and any other information that would be useful.
I would like to make Lora’s for your models, approaching the data with the same captioning method that you would use.