Instructions to use glif-loradex-trainer/maxxd4240_minimalistPastel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use glif-loradex-trainer/maxxd4240_minimalistPastel 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", torch_dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("glif-loradex-trainer/maxxd4240_minimalistPastel") prompt = "wounded centaur, mythical creature minimalistPastel" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 76c3541a26b7dc5588cc12bf3973d771b1f8754fbc81db0b0ffadf49fe9c7f2f
- Size of remote file:
- 451 MB
- SHA256:
- 3b3183e7bc743444db9519332d6a70de0124d85f92a943b1b7fd8125098d7d5b
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