Instructions to use den123/Caricature2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use den123/Caricature2 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("den123/Caricature2") prompt = "Donald Trump portrait , art, poster, vector art, Caricature2" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Commit History
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Add generated example
Verified signatureGenerated example for model den123/Caricature2. Prompt: Donald Trump portrait , art, poster, vector art, Caricature20c9e6ef -
Delete images/Pumpkin.png
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Rename 85cc7b09-fe0a-4d08-aa52-bc86a4c7acbf.TA_trained.safetensors to Caricature2.safetensors
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Add 2 files
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initial commit
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