Text-to-Image
Diffusers
TensorBoard
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
dreambooth
Instructions to use yxxshin/mymodels with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use yxxshin/mymodels with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("yxxshin/mymodels", dtype=torch.bfloat16, device_map="cuda") prompt = "a photo of zwf dog" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download vae/diffusion_pytorch_model.bin from yxxshin/mymodels: direct link, hf CLI and curl.
- Browser
- Download file 335 MB
-
https://huggingface.co/yxxshin/mymodels/resolve/main/vae/diffusion_pytorch_model.bin
- Command line
-
hf download hf://yxxshin/mymodels/vae/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/yxxshin/mymodels/resolve/main/vae/diffusion_pytorch_model.bin
335 MB
- Xet hash:
- 00236983c4aad4079a87516dd838a4909f0cf1deb32675444ac0ee62fe98ebbc
- Size of remote file:
- 335 MB
- SHA256:
- 1b01618945554d9840701d3453d4a9fe3db0db090164a5ed6305641306285b6f
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