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:
- a6ba6f42eece9338bc1a5aff3dab3530e712f5c753dff783b210ee59ab7378d9
- Size of remote file:
- 1.68 MB
- SHA256:
- 0efabab4b85cc20ab034209b89e4e068910af4a298fc2d64e3a8d89d48b1bc72
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