Instructions to use 1234aurel/gfd with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use 1234aurel/gfd with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("1234aurel/gfd", 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: apache-2.0
datasets:
- nvidia/Llama-Nemotron-Post-Training-Dataset
metrics:
- cer
base_model:
- deepseek-ai/DeepSeek-V3-0324
- sesame/csm-1b
new_version: deepseek-ai/DeepSeek-V3-0324
library_name: diffusers
tags:
- code
- medical
- art
- merge