Instructions to use subaranjani/image_generator with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use subaranjani/image_generator with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("subaranjani/image_generator", 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:
- 6ef83ca1f6ad52103a491cbdb31e5d37971dae29823e03133b1afd8bcb038176
- Size of remote file:
- 335 MB
- SHA256:
- 6bb865b3478d73053007b8a76f114010e26f1a1d2ea02dc0261464caa4289c2d
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