Instructions to use keshav-writes-code/my-first-ai-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use keshav-writes-code/my-first-ai-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("keshav-writes-code/my-first-ai-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:
- 04879c5adda635d99b62ac4f5c726e624a42397615d3407f8aab661a7852a88d
- Size of remote file:
- 492 MB
- SHA256:
- 905f0da0dbd3b7a1d890b3089b4f6e7bf90150c7b2d66ad052eca7dfd5bb712f
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