Instructions to use AlexanderLab/ultfce with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use AlexanderLab/ultfce 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("AlexanderLab/ultfce") prompt = "ultfce" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
- Xet hash:
- db1c3923d17fcdd781d3e1b23884beaccc292bfd85b0e21271d1b65bc0b78311
- Size of remote file:
- 344 MB
- SHA256:
- 060fdcff9ce0e35ab3083b45133c58a2e02d4ecd7fe511bd9cd0ab85c4332fd5
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