Instructions to use waterplayfire/MyModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use waterplayfire/MyModel with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("waterplayfire/MyModel", 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
- Draw Things
- DiffusionBee
Commit ·
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Parent(s): 28ec523
Create README.md
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README.md
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language:
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- "List of ISO 639-1 code for your language"
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- lang1
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- lang2
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thumbnail: "url to a thumbnail used in social sharing"
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tags:
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- tag1
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license: "any valid license identifier"
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datasets:
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- dataset1
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- dataset2
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metrics:
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- metric1
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- metric2
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