Text-to-Image
Diffusers
Safetensors
English
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
Instructions to use Crosstyan/BPModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Crosstyan/BPModel with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Crosstyan/BPModel", dtype=torch.bfloat16, device_map="cuda") prompt = "1girl with blonde two side up disheveled hair red eyes in black serafuku red ribbon, upper body, simple background, grey background, collarbone" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download NMFSAN/embeddings/alphonse.pt from Crosstyan/BPModel: direct link, hf CLI and curl.
- Browser
- Download file 7.1 kB
-
https://huggingface.co/Crosstyan/BPModel/resolve/main/NMFSAN/embeddings/alphonse.pt
- Command line
-
hf download hf://Crosstyan/BPModel/NMFSAN/embeddings/alphonse.pt
-
curl -L -o alphonse.pt https://huggingface.co/Crosstyan/BPModel/resolve/main/NMFSAN/embeddings/alphonse.pt
7.1 kB
- Xet hash:
- 55727d16a5f21b71f4345a0712aaae4fce4b957147fe5ebf1de67b3cd725cf2f
- Size of remote file:
- 7.1 kB
- SHA256:
- 5c516e5205d3b86caf3f3f98ccabc50db1910acd848a5c79629c3b816b73510d
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.