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
| 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 | |