Instructions to use GGTOPs/Experiment_01 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GGTOPs/Experiment_01 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("GGTOPs/Experiment_01", 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 Settings
- Draw Things
- DiffusionBee
metadata
pipeline_tag: text-to-image
datasets:
- hkgkjg111/gradient
- ArielACE/Lora-Dataset
- JCTN/hypernetworks
- ngocuong/a1111-sd-webui-locon
- Drditone/wildcards
- thefcraft/civitai-stable-diffusion-337k
- merve/xlm-roberta-large-df
license: other
language:
- en
metrics:
- bertscore
- accuracy
- code_eval
library_name: diffusers