Instructions to use RzZ/sd-v1-4-adapter-depth with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use RzZ/sd-v1-4-adapter-depth with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("RzZ/sd-v1-4-adapter-depth", 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
- Xet hash:
- 12369523728f695201da7feebd1bf94006d4c5bc03ab04b674a59bc474352c16
- Size of remote file:
- 309 MB
- SHA256:
- 9e5993aa8d267d38bf8a5a6b90378610af9fb4558a3f400496734cfded5f16c6
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