|
|
--- |
|
|
tags: |
|
|
- text-to-image |
|
|
- lora |
|
|
- diffusers |
|
|
- template:diffusion-lora |
|
|
widget: |
|
|
- text: '-' |
|
|
output: |
|
|
url: images/00117-[marduk191sFlux1_flux1DevFp8Fp16t5]_3803610404.png |
|
|
base_model: |
|
|
- black-forest-labs/FLUX.1-dev |
|
|
- xey/sldr_flux_nsfw_v2-studio |
|
|
instance_prompt: bella |
|
|
pipeline_tag: text-to-image |
|
|
library_name: diffusers |
|
|
--- |
|
|
# Bella |
|
|
|
|
|
<Gallery /> |
|
|
|
|
|
|
|
|
## Trigger words |
|
|
|
|
|
You should use `bella` to trigger the image generation. |
|
|
|
|
|
from diffusers import DiffusionPipeline |
|
|
|
|
|
pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev") |
|
|
pipe.load_lora_weights("xey/sldr_flux_nsfw_v2-studio") |
|
|
|
|
|
prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" |
|
|
image = pipe(prompt).images[0] |
|
|
|
|
|
## Download model |
|
|
|
|
|
Weights for this model are available in Safetensors format. |
|
|
|
|
|
[Download](/VitoCorleone72/Bella/tree/main) them in the Files & versions tab. |