README.md

---
license: other
license_name: bespoke-lora-trained-license
license_link: https://multimodal.art/civitai-licenses?allowNoCredit=True&allowCommercialUse=Image&allowDerivatives=True&allowDifferentLicense=True
tags:
- text-to-image
- stable-diffusion
- lora
- diffusers
- template:sd-lora
- migrated
- woman
- 90s
- actress
- celebrity
- tv series
- movies

base_model: black-forest-labs/FLUX.1-dev
instance_prompt: amidolenz
widget:
- text: ' '
  
  output:
    url: >-
      52880989.jpeg
- text: ' '
  
  output:
    url: >-
      52880986.jpeg
- text: ' '
  
  output:
    url: >-
      52880990.jpeg
- text: ' '
  
  output:
    url: >-
      52880985.jpeg
- text: ' '
  
  output:
    url: >-
      52881000.jpeg
- text: ' '
  
  output:
    url: >-
      52880987.jpeg
- text: ' '
  
  output:
    url: >-
      52880994.jpeg
- text: ' '
  
  output:
    url: >-
      52880988.jpeg
- text: ' '
  
  output:
    url: >-
      52880993.jpeg
- text: ' '
  
  output:
    url: >-
      52880992.jpeg
- text: ' '
  
  output:
    url: >-
      52880998.jpeg
- text: ' '
  
  output:
    url: >-
      52880991.jpeg
- text: ' '
  
  output:
    url: >-
      52880996.jpeg
- text: ' '
  
  output:
    url: >-
      52880995.jpeg
- text: ' '
  
  output:
    url: >-
      52880999.jpeg
- text: ' '
  
  output:
    url: >-
      52880997.jpeg
- text: ' '
  
  output:
    url: >-
      52881001.jpeg
- text: ' '
  
  output:
    url: >-
      52881002.jpeg
- text: ' '
  
  output:
    url: >-
      52881003.jpeg

---

# Ami Dolenz Flux D , "Cant buy Me love" 

<Gallery />



([CivitAI](https://civitai.com/models/))

## Model description

<p>Generates Photos of Ami Dolenz with Flux models ,  She is From "Saved by the bell" "Cant buy me love" others...</p>

## Trigger words
You should use `amidolenz` to trigger the image generation.
    

## Download model

Weights for this model are available in Safetensors format.

[Download](/Keltezaa/ami-dolenz-flux-d-cant-buy-me-love/tree/main) them in the Files & versions tab.

## Use it with the [🧨 diffusers library](https://github.com/huggingface/diffusers)

```py
from diffusers import AutoPipelineForText2Image
import torch

device = "cuda" if torch.cuda.is_available() else "cpu"

pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.bfloat16).to(device)
pipeline.load_lora_weights('Keltezaa/ami-dolenz-flux-d-cant-buy-me-love', weight_name='am1d0lenz.safetensors')
image = pipeline('`amidolenz`').images[0]
```

For more details, including weighting, merging and fusing LoRAs, check the [documentation on loading LoRAs in diffusers](https://huggingface.co/docs/diffusers/main/en/using-diffusers/loading_adapters)