Instructions to use playgroundai/playground-v2-1024px-aesthetic with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use playgroundai/playground-v2-1024px-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-v2-1024px-aesthetic", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Could you disclose some model training details?
#8
by eeyrw - opened
Such as batch size and steps for different resolution stage or other tricks.
I'd love to hear more as well! It's encouraging to see an independently-trained SDXL model. Knowing more about its training would help us know how to use it effectively.
- What sorts of prompts was this trained on?
- Do you always send the same prompt text to both of SDXL's text encoders?
- Was it trained at different aspect ratios? How did you make use of SDXL's micro-conditioning fields,
original_size,target_size, andcrop_coords?
Sorry, we're not planning to disclose our training recipe at this stage. Thanks for the questions though!
ehsanakh changed discussion status to closed