Instructions to use cucucu666/cry-8.15 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use cucucu666/cry-8.15 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-Fill-dev", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("cucucu666/cry-8.15") prompt = "3d face, 3d cartoon style, sad expression, closed eyes, blue tears under eyes, plain white background" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee

- Xet hash:
- 0bf14dc51186864be0cb04d8b7c653da894fc00adb88f5e06a586e15828167bb
- Size of remote file:
- 653 kB
- SHA256:
- 733dbe7eb01d4a657f1873a768fbb3cd311f2fb4629dab15bd2dc37ee7063660
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.