Instructions to use EVA787797/78778 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use EVA787797/78778 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("EVA787797/78778") prompt = "-" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee

- Xet hash:
- 4644bd60a168c676ab87d29672a2f2f1b65650c1cec62f0ab1d65658a4ee75bb
- Size of remote file:
- 87 kB
- SHA256:
- bc225ff37b57abb9d931a065628cf4a452ff05676910f9de032440332cab016d
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