Instructions to use xFutureTechx/Jan2024-Backups with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use xFutureTechx/Jan2024-Backups with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("xFutureTechx/Jan2024-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] - Notebooks
- Google Colab
- Kaggle
import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("xFutureTechx/Jan2024-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]January 2024 Backmixes
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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Model tree for xFutureTechx/Jan2024-Backups
Base model
stable-diffusion-v1-5/stable-diffusion-v1-5