Instructions to use jayparmr/merged_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use jayparmr/merged_model with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("jayparmr/merged_model", 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:
- f04d86281109d04f4a5bf9b875994508182c8fccf3599353643a25ea144260da
- Size of remote file:
- 492 MB
- SHA256:
- b91528f141c8e30df2ae0950dec6634991fb51069a7ec8d8e96e6618d28b2d45
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