Instructions to use krystv/hestyle-diffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use krystv/hestyle-diffusion with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("krystv/hestyle-diffusion", torch_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:
- 91dff80ed76ffeb2300cd724c4818c8abe1edab05b4f80cc37c4dbd5dcd8d27f
- Size of remote file:
- 3.44 GB
- SHA256:
- 287add6ffe4623598a85bb9a390b6209a4a1125b84b5409fd932e959a56184d4
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