Instructions to use ShinnosukeU/parameter_v21 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ShinnosukeU/parameter_v21 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_v21", 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:
- 4e0d8cd6b1f84c56ea02885ce0db3b2349a3bb778389828a7ca85a5e8a492c18
- Size of remote file:
- 3.44 GB
- SHA256:
- daceada180fcdb736771b16a87e83c7a81cbb92af731dacb7e53804b6dacba74
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