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:
- 9e1e62352cdeb66f2ddb7925a2da4ba04d0dcb3d230592d97c4000b49e747d84
- Size of remote file:
- 2.07 MB
- SHA256:
- facd5af8d490d8b7fded5c88e23ae8671ed58998fb2ebcc8ee4f91e319a923ab
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