Text-to-Image
Diffusers
Safetensors
stable-diffusion-xl
stable-diffusion-xl-diffusers
lora
template:sd-lora
Instructions to use backnotprop/np_cr_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use backnotprop/np_cr_model with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-base-1.0", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("backnotprop/np_cr_model") prompt = "spiral wave flower by <s0><s1>,minimalism,white_background,abstract,photoshop generated abstract object mesh colorful with white background" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 45935cf8fe7dd0d35de4c82168111bc11146c30b706c917b6da54a7bdf949eea
- Size of remote file:
- 4.59 GB
- SHA256:
- 9cbb056ad9365df705f43a215b515f445a5244303333e6234586fc44a5eb59d0
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