Instructions to use valhalla/t2i-canny-euler with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use valhalla/t2i-canny-euler with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("valhalla/t2i-canny-euler", 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: 237 Bytes
409515f | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 | {
"_class_name": "T2IAdapter",
"_diffusers_version": "0.21.0.dev0",
"adapter_type": "full_adapter_xl",
"channels": [
320,
640,
1280,
1280
],
"downscale_factor": 16,
"in_channels": 1,
"num_res_blocks": 2
}
|