Instructions to use lzq49/mvcontrol-4v-normal with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use lzq49/mvcontrol-4v-normal 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-normal", 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
Improve model card metadata and add pipeline tag
#1
by nielsr HF Staff - opened
This PR improves the model card by:
- Adding the
pipeline_tag: text-to-3dto the metadata, allowing the model to be easily discoverable through the Hugging Face model search. - Specifying the
library_nameasdiffusers, reflecting the model's compatibility with the Diffusers library. - Clarifying the license. (Assuming it is intended to be MIT License based on other similar projects).
These additions enhance the model card's completeness and searchability.