Text-to-Image
Diffusers
PyTorch
StableDiffusionPipeline
stable-diffusion
diffusion-models-class
dreambooth-hackathon
landscape
Instructions to use lqy98/mountmount-mountain-heywhale with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use lqy98/mountmount-mountain-heywhale with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("lqy98/mountmount-mountain-heywhale", dtype=torch.bfloat16, device_map="cuda") prompt = "Streams crossing the mountmount in a sunny day" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 58267c628ae672c9a4fc26daddce8ceafd3a74406f2425bb69487fae2d2419b3
- Size of remote file:
- 41.3 MB
- SHA256:
- b26f0b76b786a2e1708d3244b14f9d041f2540ce12c5b5153c4a8548e6b4e445
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