Instructions to use openbmb/VisCPM-Paint with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use openbmb/VisCPM-Paint with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("openbmb/VisCPM-Paint", 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
Rename viscpm_paint_balance_checkpoint.pt to pytorch_model.balance.bin
Browse files
viscpm_paint_balance_checkpoint.pt → pytorch_model.balance.bin
RENAMED
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File without changes
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