Text-to-Image
Diffusers
TensorBoard
Safetensors
StableDiffusionPipeline
dreambooth
diffusers-training
stable-diffusion
stable-diffusion-diffusers
Instructions to use HadiZayer/landmark_out with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use HadiZayer/landmark_out with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("HadiZayer/landmark_out", dtype=torch.bfloat16, device_map="cuda") prompt = "a photo of sks landmark" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 51154fac79363c4231a91f0de4a10c9d6a81f1234feeb5112df61b42a6ca8278
- Size of remote file:
- 1.4 kB
- SHA256:
- 620b1f766e932f519b62240af863a9cd84d9cdaac1d1a297a1b5614281c2b46f
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