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/dikko.pt from Crosstyan/BPModel: direct link, hf CLI and curl.
- Browser
- Download file 7.03 kB
-
https://huggingface.co/Crosstyan/BPModel/resolve/main/NMFSAN/embeddings/dikko.pt
- Command line
-
hf download hf://Crosstyan/BPModel/NMFSAN/embeddings/dikko.pt
-
curl -L -o dikko.pt https://huggingface.co/Crosstyan/BPModel/resolve/main/NMFSAN/embeddings/dikko.pt
7.03 kB
- Xet hash:
- 8e5a32fe9e4ef2646022f1d58583f11eb8de56abbb01e6350e92a7a04da48652
- Size of remote file:
- 7.03 kB
- SHA256:
- 4fedcdb4de74f0638c0e83b7ee07bd30f4caa8165dd0ec2d0d9c3af478b45111
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