Text-to-Image
Diffusers
English
stable diffusion
art
How to use from the
Use from the
Diffusers library
pip install -U diffusers transformers accelerate
import torch
from diffusers import DiffusionPipeline

# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("xFutureTechx/2024_Backups", torch_dtype=torch.bfloat16, device_map="cuda")

prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
image = pipe(prompt).images[0]

2023 & 2024 Post Consumer Bullshiz (Fomerly KofI Release Models)

Do's and Don'ts:

Do USE XYPHER'S Tool to find metadata! Doro Metadata

Do NOT REUPLOAD

DO - Reuse, RECYCLE AND MERGE! - Credit, and if possible leave metadata on - not because we're a prude, but because then I can see what lovely creations you've used and how smart you are compared to me!

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