Civitai Flux Loras for Glif use
Collection
10 items • Updated
import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("Motas/DeepFried_FluxMemes")
prompt = "Deep fried meme. A 3d render of Shrek angrily holding a gun to the viewer. He has red glowing eyes. Top text \"THIS IS A ROBBERY\", bottom text \"GIVE ME THE BUZZ\". Low quality, jpeg compression, saturated colors, distortion. <lora:deep-fried-memes:1> "
image = pipe(prompt).images[0]Deep Fried Flux Memes
- Prompt
- Deep fried meme. A 3d render of Shrek angrily holding a gun to the viewer. He has red glowing eyes. Top text "THIS IS A ROBBERY", bottom text "GIVE ME THE BUZZ". Low quality, jpeg compression, saturated colors, distortion. <lora:deep-fried-memes:1>
- Prompt
- Deep fried meme. Extremely low quality and distorted screenshot of a Twitter post that says "not funny, didn't laugh". Like and retweet icons below the post, showing 69 retweets and 420 likes. Low quality, jpeg compression, saturated colors, distortion. <lora:deep-fried-memes:1>
Model description
https://civitai.com/models/735558/deep-fried-memes-flux-dev?modelVersionId=822566
Trigger words
You should use deep fried meme to trigger the image generation.
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
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Model tree for Motas/DeepFried_FluxMemes
Base model
black-forest-labs/FLUX.1-dev