Instructions to use EVA787797/877897979 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use EVA787797/877897979 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("EVA787797/877897979") prompt = "-" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- a26f22ec21b5bcde10df5f39f727af9f8e3d53b84a9556fbdc13b1ff0910aa12
- Size of remote file:
- 48.6 MB
- SHA256:
- 4183b98d6fd90d20c5d37f8ab7056b02f7386e444b8dfddc89181c3b4090e714
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