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
File size: 485 Bytes
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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.
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