import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("Perry1323/Dicks", dtype=torch.bfloat16, device_map="cuda")
prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
image = pipe(prompt).images[0]tags:
- text-to-image
- stable-diffusion
- lora
- diffusers
- template:sd-lora widget:
- text: "UNICODE\0\0m\0a\0s\0t\0e\0r\0p\0i\0e\0c\0e\0,\0 \0p\0r\0o\0f\0e\0s\0s\0i\0o\0n\0a\0l\0 \0 \0p\0h\0o\0t\0o\0 \0 \0o\0f\0 \0a\0 \0 \0h\0a\0n\0d\0s\0o\0m\0e\0 \0m\0a\0n\0 \0m\0o\0d\0e\0,\0 \0l\0a\0r\0g\0e\0 \0t\0e\0s\0t\0i\0c\0l\0e\0s\0,\0 \0e\0r\0e\0c\0t\0 \0p\0e\0n\0i\0s\0,\0 \0f\0i\0t\0n\0e\0s\0s\0 \0m\0o\0d\0e\0l\0,\0 \0<\0l\0y\0c\0o\0:\0t\0g\0_\0f\0i\0n\0a\0l\01\0:\00\0.\07\0>\0,\0 \0b\0o\0k\0e\0h\0,\0 \0s\0m\0i\0l\0e\0,\0 \0s\0h\0o\0r\0t\0 \0h\0a\0i\0r\0,\0 \0i\0n\0 \0c\0i\0t\0y\0 \0c\0e\0n\0t\0e\0r\0 \0,\0 \0f\0r\0o\0m\0 \0b\0e\0l\0o\0w\0,\0 \0" output: url: images/18710-masterpiece professional photo of a handsome man mode.jpeg base_model: runwayml/stable-diffusion-v1-5 instance_prompt: penis, cock, nsfw
Better Cocks v2
Trigger words
You should use penis to trigger the image generation.
You should use cock to trigger the image generation.
You should use nsfw to trigger the image generation.
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Download them in the Files & versions tab.
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Base model
stable-diffusion-v1-5/stable-diffusion-v1-5