Instructions to use Jason248/myModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Jason248/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("Jason248/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
- Xet hash:
- 7b07b0b7107fd5fda17c06aae2ff61526a4ba42199589dc2c303c304a6910148
- Size of remote file:
- 1 kB
- SHA256:
- c4d2df5c58324bfd7492703090d979d1a9534286627e931b5fa49be608e8648e
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