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
File size: 309 Bytes
035be07 6a5d9ff 4115a6e 035be07 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 | {
"_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
]
}
|