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
Download 2.png from lqy98/mountmount-mountain-heywhale: direct link, hf CLI and curl.
- Browser
- Download file 1.03 MB
-
https://huggingface.co/lqy98/mountmount-mountain-heywhale/resolve/main/2.png
- Command line
-
hf download hf://lqy98/mountmount-mountain-heywhale/2.png
-
curl -L -o 2.png https://huggingface.co/lqy98/mountmount-mountain-heywhale/resolve/main/2.png
1.03 MB

- Xet hash:
- dc2cdf355adaaa310846ede762fb45d0621c173d9ddd5ca7dfdb61f97312637d
- Size of remote file:
- 1.03 MB
- SHA256:
- f1deb72a85c4f3b52fcc587a5f88cf4578b27d55cb09d7a01aa94d0680477328
·
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