Instructions to use hf-internal-testing/tiny-helios-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-helios-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-helios-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
- Draw Things
- DiffusionBee
- Xet hash:
- a80072cdb0574f7d20c9507182ff7ef084d5c3b5eafefe3bcbc6ceb9de0a3c1e
- Size of remote file:
- 278 kB
- SHA256:
- 82bbe4e2ebf64415f6d61b128037c1c8a060c0d41fed653c7b4aad4877bff82b
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