Instructions to use lzq49/mvcontrol-4v-depth with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use lzq49/mvcontrol-4v-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("lzq49/mvcontrol-4v-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
Add pipeline tag and library name to model card
#1
by nielsr HF Staff - opened
This PR adds the missing pipeline_tag and library_name to the model card metadata. This will improve discoverability on the Hugging Face Hub and clarify the model's dependencies. The license is also added for completeness.