Instructions to use wmobilas/visualizevalue with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use wmobilas/visualizevalue with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("wmobilas/visualizevalue", torch_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
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 776049b0f8850f5bcdfc103e1a0c7a045b5c8687b820f0240d6ca45fc64441ae
- Size of remote file:
- 492 MB
- SHA256:
- 1e98ba71e3d13721ff618866d23242e8da15094bb01cafd5c128c94e9cc9bffe
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