Instructions to use Xytra/Palak with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Xytra/Palak with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Xytra/Palak", 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
metadata
license: mit
datasets:
- fka/awesome-chatgpt-prompts
language:
- hi
- en
- bh
metrics:
- character
library_name: diffusers
pipeline_tag: conversational
tags:
- Chatbot
- Palak
- Girl
- Ai