metadata
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
- concept
- marijuana
- weed
- fat
- flower
- nugs
- purz
- flux1.d
- buds
base_model: black-forest-labs/FLUX.1-dev
instance_prompt: f4t_nug5
widget:
- text: >-
f4t_nug5, the words "Fat Nugs" made of large marijuana buds, sitting on a
coffee table
output:
url: 33968722.jpeg
- text: >-
f4t_nug5, the word "Fat Nugs" made out of marijuana buds, sitting in a
ziploc bag, on a coffee table
output:
url: 33968733.jpeg
- text: >-
f4t_nug5, large marijuana buds, sitting in a ziploc bag, on a coffee
table
output:
url: 33968769.jpeg
- text: |
f4t_nug5, the word "Purz" made out of marijuana buds
output:
url: 33968830.jpeg
- text: |
f4t_nug5, the word "Civitai" made out of marijuana buds
output:
url: 33968866.jpeg
Fat Nugs
Model description
Fat Nugs - LoRA (Flux.1 D)
Trained on macro photography of large flower buds.
"f4t_nug5, the words "Fat Nugs" made of large buds, sitting on a coffee table"
Purz
Website: https://www.purz.xyz/
Creative Exploration /w Purz: https://www.youtube.com/@PurzBeats
Patreon: https://www.patreon.com/Purz
Twitter/X: https://x.com/PurzBeats
Instagram: https://www.instagram.com/purzbeats/
Trigger words
You should use f4t_nug5
to trigger the image generation.
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
Use it with the 🧨 diffusers library
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('Purz/fat-nugs', weight_name='purz-f4t_nug5.safetensors')
image = pipeline('f4t_nug5, the word "Civitai" made out of marijuana buds
').images[0]
For more details, including weighting, merging and fusing LoRAs, check the documentation on loading LoRAs in diffusers