Instructions to use EVA787797/eva78774787 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use EVA787797/eva78774787 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-schnell", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("EVA787797/eva78774787") prompt = "-" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee

- Xet hash:
- f527347d432fb5e69e7f18d332054d834660c7e3e5c8a60e7178aca6903aa77a
- Size of remote file:
- 391 kB
- SHA256:
- f7296f986a77256fa035376d491aa8971be13fc6341765ec31566ea689ac0cc5
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