license: other | |
license_name: bespoke-lora-trained-license | |
license_link: https://multimodal.art/civitai-licenses?allowNoCredit=False&allowCommercialUse=RentCivit&allowDerivatives=False&allowDifferentLicense=True | |
tags: | |
- text-to-image | |
- stable-diffusion | |
- lora | |
- diffusers | |
- template:sd-lora | |
- migrated | |
- character | |
- evang | |
- alisha klass | |
base_model: runwayml/stable-diffusion-v1-5 | |
instance_prompt: Alisha_klass | |
widget: | |
- text: ' ' | |
output: | |
url: >- | |
17928291.jpeg | |
- text: ' ' | |
output: | |
url: >- | |
17927578.jpeg | |
- text: ' ' | |
output: | |
url: >- | |
17927570.jpeg | |
# Alisha Klass | |
<Gallery /> | |
## Model description | |
<p>based on Actress and Model Alisha Klass.</p><p></p><p>I recommend using a model like epic realism as the base</p> | |
## Trigger words | |
You should use `Alisha_klass`, `evang` to trigger the image generation. | |
## Download model | |
Weights for this model are available in Safetensors format. | |
[Download](/brushpenbob/alisha-klass/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 | |
pipeline = AutoPipelineForText2Image.from_pretrained('runwayml/stable-diffusion-v1-5', torch_dtype=torch.float16).to('cuda') | |
pipeline.load_lora_weights('brushpenbob/alisha-klass', weight_name='Alisha_Klass-000001.safetensors') | |
image = pipeline('`Alisha_klass`, `evang`').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) | |