ViewMask-1-to-3: Multi-View Consistent Image Generation via Multimodal Discrete Diffusion Models
Paper • 2512.14099 • Published
How to use zhuruishu/ViewMask-1-to-3 with Transformers:
# Use a pipeline as a high-level helper
# Warning: Pipeline type "image-to-image" is no longer supported in transformers v5.
# You must load the model directly (see below) or downgrade to v4.x with:
# pip install "transformers<5.0.0"
from transformers import pipeline
pipe = pipeline("image-to-image", model="zhuruishu/ViewMask-1-to-3", trust_remote_code=True) # pip install -U transformers accelerate
# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("zhuruishu/ViewMask-1-to-3", trust_remote_code=True, device_map="auto")Model checkpoint for Multi-View Consistent Image Generation via Multimodal Discrete Diffusion Models, including BF16 weights and the matching text tokenizer.
For code, setup, training, inference, and evaluation, please refer to the official GitHub repository.