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
Download config.json from johnsonoluwafemi/TextImageGenerationModel: direct link, hf CLI and curl.
- Browser
- Download file 0 Bytes
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https://huggingface.co/johnsonoluwafemi/TextImageGenerationModel/resolve/main/config.json
- Command line
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hf download hf://johnsonoluwafemi/TextImageGenerationModel/config.json
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curl -L -o config.json https://huggingface.co/johnsonoluwafemi/TextImageGenerationModel/resolve/main/config.json
0 Bytes
Invalid JSON:Unexpected end of JSON input