Instructions to use Metal079/V3_new with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Metal079/V3_new with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Metal079/V3_new", 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:
- e5c80523f87cddeeee1d49db814d69e407579db1dac71f2bf697e3a27adf07c0
- Size of remote file:
- 2.13 GB
- SHA256:
- 7426bd417fcd1788da986c19f342d3a111163d9c54e40ee3f68c31dcefe16245
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