Instructions to use carsonkatri/stable-diffusion-2-depth-diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use carsonkatri/stable-diffusion-2-depth-diffusers with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import AutoPipelineForInpainting from diffusers.utils import load_image # switch to "mps" for apple devices pipe = AutoPipelineForInpainting.from_pretrained("carsonkatri/stable-diffusion-2-depth-diffusers", dtype=torch.float16, device_map="cuda") img_url = "https://raw.githubusercontent.com/CompVis/latent-diffusion/main/data/inpainting_examples/overture-creations-5sI6fQgYIuo.png" mask_url = "https://raw.githubusercontent.com/CompVis/latent-diffusion/main/data/inpainting_examples/overture-creations-5sI6fQgYIuo_mask.png" image = load_image(img_url).resize((1024, 1024)) mask_image = load_image(mask_url).resize((1024, 1024)) prompt = "a tiger sitting on a park bench" generator = torch.Generator(device="cuda").manual_seed(0) image = pipe( prompt=prompt, image=image, mask_image=mask_image, guidance_scale=8.0, num_inference_steps=20, # steps between 15 and 30 work well for us strength=0.99, # make sure to use `strength` below 1.0 generator=generator, ).images[0] - Notebooks
- Google Colab
- Kaggle
|
Download README.md from carsonkatri/stable-diffusion-2-depth-diffusers: direct link, hf CLI and curl.
- Browser
- Download file 1.08 kB
-
https://huggingface.co/carsonkatri/stable-diffusion-2-depth-diffusers/resolve/main/README.md
- Command line
-
hf download hf://carsonkatri/stable-diffusion-2-depth-diffusers/README.md
-
curl -L -o README.md https://huggingface.co/carsonkatri/stable-diffusion-2-depth-diffusers/resolve/main/README.md
1.08 kB
| license: openrail | |
| This model is converted from [stable-diffusion-2-depth](https://huggingface.co/stabilityai/stable-diffusion-2-depth) using the [conversion script](https://github.com/huggingface/diffusers/blob/main/scripts/convert_original_stable_diffusion_to_diffusers.py) from [🤗 Diffusers](https://github.com/huggingface/diffusers). | |
| You can use it with the pipeline here: https://gist.github.com/carson-katri/f51532b9d5162928d5cacbaee081a799 | |
| ```python | |
| # class StableDiffusionDepthPipeline: ... | |
| from PIL import Image | |
| model_id = "carsonkatri/stable-diffusion-2-depth-diffusers" | |
| # Use the pipeline from this GH Gist: https://gist.github.com/carson-katri/f51532b9d5162928d5cacbaee081a799 | |
| pipe = StableDiffusionDepthPipeline.from_pretrained(model_id) | |
| pipe = pipe.to("cuda") | |
| image = pipe( | |
| prompt="a photo of a stormtrooper from star wars", | |
| depth_image=Image.open('depth.png'), # Black and white depth map | |
| image=Image.open("emad.png"), # Optional init image and strength. | |
| width=768, | |
| height=512 | |
| ).images[0] | |
| image.save('stormtrooper.png') | |
| ``` |