Instructions to use EVA787797/tyu7787877 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- fastai
How to use EVA787797/tyu7787877 with fastai:
from huggingface_hub import from_pretrained_fastai learn = from_pretrained_fastai("EVA787797/tyu7787877") - Diffusers
How to use EVA787797/tyu7787877 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("XLabs-AI/flux-lora-collection", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("EVA787797/tyu7787877") prompt = "beautiful model pose photo" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
metadata
tags:
- text-to-image
- stable-diffusion
- lora
- diffusers
- template:sd-lora
widget:
- text: beautiful model pose photo
output:
url: images/dxqI1VZAFIKoUMdy4lwn0.png
- text: 'beautiful femme hongroise '
output:
url: images/out-0 - 2024-09-07T153057.887.webp
- text: 'beauté imagination '
output:
url: images/out-0 - 2024-09-07T152347.298.webp
base_model: XLabs-AI/flux-lora-collection
instance_prompt: null
license: osl-3.0
language:
- fr
- en
- it
- ch
- ja
- fa
library_name: fastai
laura

- Prompt
- beautiful model pose photo

- Prompt
- beautiful femme hongroise

- Prompt
- beauté imagination
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.