Instructions to use pennypacker/CinDeeLora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use pennypacker/CinDeeLora 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-dev", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("pennypacker/CinDeeLora") prompt = "TOK" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Commit History
-
Upload 4 files
Verified signatured2d9d79
-
Upload 3 files
Verified signature4867230
-
Upload pussydiffusion-f1.safetensors
Verified signature5f8c3c7 -
Upload SNV4r1.safetensors
Verified signature735a76f
-
Upload folder using huggingface_hub
Verified signatureeb2426f -
initial commit
Verified signaturee98eef7