Instructions to use radames/stable-diffusion-2-depth-img2img with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use radames/stable-diffusion-2-depth-img2img with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline from diffusers.utils import load_image # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("radames/stable-diffusion-2-depth-img2img", dtype=torch.bfloat16, device_map="cuda") prompt = "Turn this cat into a dog" input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png") image = pipe(image=input_image, prompt=prompt).images[0] - Notebooks
- Google Colab
- Kaggle
File size: 382 Bytes
56ac81e | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 | {
"do_normalize": true,
"do_rescale": true,
"do_resize": true,
"ensure_multiple_of": 1,
"image_mean": [
0.5,
0.5,
0.5
],
"image_processor_type": "DPTImageProcessor",
"image_std": [
0.5,
0.5,
0.5
],
"keep_aspect_ratio": false,
"resample": 2,
"rescale_factor": 0.00392156862745098,
"size": {
"height": 384,
"width": 384
}
}
|