Instructions to use Imablank/JankuV4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Imablank/JankuV4 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Imablank/JankuV4", 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:
- 8a07c34692dda219fdbf249fb6c22387166e064d198c3662e6350d90b96aeaf1
- Size of remote file:
- 167 MB
- SHA256:
- 5f2a1cb8417fc5c83a0fbb903fc5f51c7927ff39f6409a89cb98f6b12470cb84
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