Instructions to use EVA787797/777787777 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use EVA787797/777787777 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("EVA787797/777787777") prompt = "-" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 6ae86207536a531ad51cc04aeb0f4df0d8295fa8ee5ec0feab63df73f1c28c4c
- Size of remote file:
- 37.4 MB
- SHA256:
- 64fc804e32435efb0fe2cb6c4259bb1407cc033e96b72a7b982ce3d2459810ab
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