Instructions to use ShinnosukeU/parameter_v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ShinnosukeU/parameter_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("ShinnosukeU/parameter_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:
- 743a0a3ad8e0b5baf98d658a525276a9203eba8226620d0f269b06b19c4a90a4
- Size of remote file:
- 7.86 GB
- SHA256:
- ac010a9ea1c12f9f24bb286dec4c768dbf8a88f8e3dd400741df4b0bbbea5836
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