Instructions to use hf-internal-testing/tiny-krea2-modular-pipe with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use hf-internal-testing/tiny-krea2-modular-pipe with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("hf-internal-testing/tiny-krea2-modular-pipe", 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:
- 1a65c6203ad6075cc81256e988c59d33558243505846ce27fef90b75b25c7467
- Size of remote file:
- 123 kB
- SHA256:
- ea582bcdc2017d7955e81b8d799fa2a1824cdb80fa0019e4fa701398e0658795
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