Instructions to use EVA787797/4877877 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use EVA787797/4877877 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("EVA787797/4877877") prompt = "-" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 88209315701fd6d5ff4e57f0f688b59ea1d9c4fc63d608649ee231c9af2902a0
- Size of remote file:
- 22.4 MB
- SHA256:
- 0a83a924b822b70b5e458d27935ebfa7713edaee04ff9f194209525354031eca
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