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---
license: other
license_name: bespoke-lora-trained-license
license_link: https://multimodal.art/civitai-licenses?allowNoCredit=True&allowCommercialUse=Rent&allowDerivatives=True&allowDifferentLicense=False
tags:
- text-to-image
- stable-diffusion
- lora
- diffusers
- template:sd-lora
- character
- baby
- bamba
base_model: runwayml/stable-diffusion-v1-5
instance_prompt: BambaBaby
widget:
- text: 'A professional photo of BambaBaby Dancing in the streets of new-york '
output:
url: >-
5870247.jpeg
- text: 'A photo of a BambaBaby sitting at a pub with a glass of milk in front of him '
output:
url: >-
5870250.jpeg
- text: 'A professional shot of a BambaBaby surfing in the ocean '
output:
url: >-
5870243.jpeg
- text: 'A full body shot of a wooden BambaBaby Pinocchio puppet '
output:
url: >-
5870242.jpeg
- text: 'A cute album-cover photo of BambaBaby smoking a joint next to a cannabis plant '
output:
url: >-
5870245.jpeg
---
# BambaBaby
<Gallery />
([CivitAI](https://civitai.com/models/277078))
## Model description
<p>An SD v1.5 LoRA of the Baby Bamba mascot, which advertises Bamba </p><p>Bamba is a snack made of peanut-butter-flavored puffed maize manufactured by the Osem corporation.</p><p></p><p>Use <em>BambaBaby</em> in your prompts to refer to this character</p>
## Trigger words
You should use `BambaBaby` to trigger the image generation.
## Download model
Weights for this model are available in Safetensors format.
[Download](/Norod78/bambababy/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('Norod78/bambababy', weight_name='BambaBaby.safetensors')
image = pipeline('A cute album-cover photo of BambaBaby smoking a joint next to a cannabis plant ').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)
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