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 .gitattributes from Crosstyan/BPModel: direct link, hf CLI and curl.
- Browser
- Download file 218 Bytes
-
https://huggingface.co/Crosstyan/BPModel/resolve/main/.gitattributes
- Command line
-
hf download hf://Crosstyan/BPModel/.gitattributes
-
curl -L -o .gitattributes https://huggingface.co/Crosstyan/BPModel/resolve/main/.gitattributes
218 Bytes
| *.png filter=lfs diff=lfs merge=lfs -text | |
| *.bin filter=lfs diff=lfs merge=lfs -text | |
| *.ckpt filter=lfs diff=lfs merge=lfs -text | |
| *.safetensors filter=lfs diff=lfs merge=lfs -text | |
| *.pt filter=lfs diff=lfs merge=lfs -text | |