Instructions to use pabloisa/JIME with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use pabloisa/JIME 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("pabloisa/JIME") prompt = "JIME" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- a55bd41107b15550ca020761f70d267f69b402121f23ed1724336d22be7dd60b
- Size of remote file:
- 172 MB
- SHA256:
- 8c0486ad8a96d21ecf382918a2a010a851185cb667d577a9472576f78a903d35
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