Instructions to use EVA787797/779797897 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use EVA787797/779797897 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("EVA787797/779797897") prompt = "-" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee

- Xet hash:
- f35dbe86f493c3d9c58e9e51ccea6a956be3a8601d18ee3b60248692b46b4481
- Size of remote file:
- 77.7 kB
- SHA256:
- c75b7de4c7d3b3227a61bfb3e038451bd9e8d7fcf07f2f0894a895e17cffb6d1
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