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
Download checkpoint-4000/optimizer.bin from backnotprop/np_cr_model: direct link, hf CLI and curl.
- Browser
- Download file 4.59 GB
-
https://huggingface.co/backnotprop/np_cr_model/resolve/main/checkpoint-4000/optimizer.bin
- Command line
-
hf download hf://backnotprop/np_cr_model/checkpoint-4000/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/backnotprop/np_cr_model/resolve/main/checkpoint-4000/optimizer.bin
4.59 GB
- Xet hash:
- 400b5b55d5bb37855768ed7896f8be9755232d632e8c189e089b642553510e05
- Size of remote file:
- 4.59 GB
- SHA256:
- 12728700fa0ebe51177013a5261704a83ab7a7d956b0cd1b4488513a7bd3a808
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