Instructions to use ShinnosukeU/parameter_v6 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ShinnosukeU/parameter_v6 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_v6", 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:
- f31639e015732f0aa94b7e703658a3f6866b76f884570cd6dfafb2c54920e06f
- Size of remote file:
- 492 MB
- SHA256:
- dc2934df0906a1696e9fc023a2a7f49bc99950153e6fe3ec97cb9ea88a73fc74
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