Instructions to use usemeru/newModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use usemeru/newModel with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("usemeru/newModel", torch_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:
- db60057e9583e56690b28d8a5784397bd2693c9ac980d9615075aef4f22300f1
- Size of remote file:
- 492 MB
- SHA256:
- b8ab986267d47db9919e3074876605639cedaa53e55e694dc124ac23ccfc76ae
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