Instructions to use freemindcore/vanitypoc-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use freemindcore/vanitypoc-v2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("freemindcore/vanitypoc-v2", 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:
- 6800d053c751a8127b4470bacd2e48e90c754d768978b5f3c4d2f9caaea5f67a
- Size of remote file:
- 246 MB
- SHA256:
- fe943e516465e8136eff99ef9090c350796bdb3b5a94dccfc093d77b9e0e44f2
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