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
| tags: | |
| - text-to-image | |
| - stable-diffusion | |
| - lora | |
| - diffusers | |
| - template:sd-lora | |
| widget: | |
| - text: '-' | |
| output: | |
| url: images/RealisticVision_45731.jpg | |
| - text: '-' | |
| output: | |
| url: images/téléchargement (2).jfif | |
| base_model: XLabs-AI/flux-lora-collection | |
| instance_prompt: null | |
| license: bsl-1.0 | |
| # laura | |
| <Gallery /> | |
| ## Download model | |
| Weights for this model are available in Safetensors format. | |
| [Download](/EVA787797/877897979/tree/main) them in the Files & versions tab. | |