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
- Xet hash:
- 475bc54db0640cc0efbdeb649f3e84bf697bcac6f74a30c3c27adcb755e7cb9d
- Size of remote file:
- 7.03 kB
- SHA256:
- 232ffb01c0408000760bf0ab32472c711dda3e18273994d1aba029eb3ce4d52d
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.