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", 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
- Draw Things
- DiffusionBee
- Xet hash:
- 4d3d5a8b686fc16360e5383125ce7a7fe629073a7b9ad979e3128aee106b399f
- Size of remote file:
- 2.13 GB
- SHA256:
- fe24ec0a9912706ada9f6096da3b8f3c149975981d216010deef1d01d990cd83
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