Instructions to use sachit-menon/illustrated_instructions with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use sachit-menon/illustrated_instructions with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("sachit-menon/illustrated_instructions", 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
| { | |
| "_class_name": "ShowNotTellPipeline", | |
| "_diffusers_version": "0.25.1", | |
| "_name_or_path": "runwayml/stable-diffusion-v1-5", | |
| "feature_extractor": [ | |
| null, | |
| null | |
| ], | |
| "model": [ | |
| "sd_model", | |
| "SDModel" | |
| ], | |
| "requires_safety_checker": false, | |
| "safety_checker": [ | |
| null, | |
| null | |
| ] | |
| } | |