Purz/fat-nugs

Fat Nugs

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Model description

<p>Fat Nugs - LoRA (Flux.1 D)</p><p></p><p>Trained on macro photography of large flower buds.</p><p></p><p>"f4tnug5, the words "Fat Nugs" made of large buds, sitting on a coffee table"</p><p></p><p>Purz</p><p>Website: <a target="blank" rel="ugc" href="https://www.purz.xyz/">https://www.purz.xyz/</a></p><p>Creative Exploration /w Purz: <a target="blank" rel="ugc" href="https://www.youtube.com/@PurzBeats">https://www.youtube.com/@PurzBeats</a></p><p>Patreon: <a target="blank" rel="ugc" href="https://www.patreon.com/Purz">https://www.patreon.com/Purz</a></p><p>Twitter/X: <a target="blank" rel="ugc" href="https://x.com/PurzBeats">https://x.com/PurzBeats</a></p><p>Instagram: <a target="blank" rel="ugc" href="https://www.instagram.com/purzbeats/">https://www.instagram.com/purzbeats/</a></p>

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