Instructions to use johnsonoluwafemi/TextImageGenerationModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use johnsonoluwafemi/TextImageGenerationModel with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("johnsonoluwafemi/TextImageGenerationModel", 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
- Size of remote file:
- 0 Bytes
- SHA256:
- e3b0c44298fc1c149afbf4c8996fb92427ae41e4649b934ca495991b7852b855
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