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 text_encoder/pytorch_model.bin from yxxshin/mymodels: direct link, hf CLI and curl.
- Browser
- Download file 1.36 GB
-
https://huggingface.co/yxxshin/mymodels/resolve/main/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://yxxshin/mymodels/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/yxxshin/mymodels/resolve/main/text_encoder/pytorch_model.bin
1.36 GB
- Xet hash:
- e98a91b7c4c35c805eac6e39016a95b3260f869491260b4c8f2639f8347c0147
- Size of remote file:
- 1.36 GB
- SHA256:
- 1f96331525953784ff137695e26c552e9ce14346e80487ca7dffd5961dd46b4a
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