Instructions to use scribbyotx/sa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use scribbyotx/sa with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("scribbyotx/sa", 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
| { | |
| "base_url": "https://discord.com/api/v9", | |
| "channel_id": "1159217496390389801", | |
| "limit": 100, | |
| "max_chunk_size": 300, | |
| "embed_data": false, | |
| "data_key": "image", | |
| "hf_dataset_name": "laion/gpt4v-dataset" | |
| } | |