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
- Xet hash:
- f6a91649362f6b99a5b36f5ba2cbd519c9363fb351fa61113f1235e5c4d7d277
- Size of remote file:
- 733 MB
- SHA256:
- b9594f1e53e88e257ca7f9c8800e20167481b757006200a31099de466e9aed25
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