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
Upload viscpm_paint_balance_checkpoint.pt
Browse files
viscpm_paint_balance_checkpoint.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:9a1ed6a3daaf99f3cae5bb6fb52ee6f3962b74179be0b99ec504b0c15f18fa88
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size 22713009709
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