Image-to-Image
Diffusers
Safetensors
SeismicImpInvCLDMPipeline
seismic-inversion
impedance-inversion
diffusion
ddpm
cldm
overthrust
synthetic-data
Instructions to use mally-2000/saii-cldm-synthetic with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use mally-2000/saii-cldm-synthetic 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("mally-2000/saii-cldm-synthetic", 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
- Xet hash:
- 30e06d54f93410d546008a2db666999aae2b7387861ddda12543607e80c54391
- Size of remote file:
- 334 kB
- SHA256:
- 59345b022a90f174efd444004192f9edf93ef5f65c556a84f52e9596f1695bd5
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