Instructions to use Luffuly/head-mvnormal-diffuser with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Luffuly/head-mvnormal-diffuser with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Luffuly/head-mvnormal-diffuser", 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
Download model_index.json from Luffuly/head-mvnormal-diffuser: direct link, hf CLI and curl.
- Browser
- Download file 490 Bytes
-
https://huggingface.co/Luffuly/head-mvnormal-diffuser/resolve/main/model_index.json
- Command line
-
hf download hf://Luffuly/head-mvnormal-diffuser/model_index.json
-
curl -L -o model_index.json https://huggingface.co/Luffuly/head-mvnormal-diffuser/resolve/main/model_index.json
490 Bytes
| { | |
| "_class_name": "MVDiffusionImagePipeline", | |
| "_diffusers_version": "0.30.3", | |
| "feature_extractor": [ | |
| "transformers", | |
| "CLIPImageProcessor" | |
| ], | |
| "image_encoder": [ | |
| "transformers", | |
| "CLIPVisionModelWithProjection" | |
| ], | |
| "requires_safety_checker": true, | |
| "safety_checker": [ | |
| null, | |
| null | |
| ], | |
| "scheduler": [ | |
| "diffusers", | |
| "DDIMScheduler" | |
| ], | |
| "unet": [ | |
| "mv_unet", | |
| "UnifieldWrappedUNet" | |
| ], | |
| "vae": [ | |
| "diffusers", | |
| "AutoencoderKL" | |
| ] | |
| } | |