Instructions to use bigbooob/sdsxx556656 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use bigbooob/sdsxx556656 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("segmind/SSD-1B", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("bigbooob/sdsxx556656") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("segmind/SSD-1B", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("bigbooob/sdsxx556656")
prompt = "-"
image = pipe(prompt).images[0]asdsad

- Prompt
- -
Trigger words
You should use d3m0p0s3 to trigger the image generation.
Download model
Download them in the Files & versions tab.
- Downloads last month
- 8
Model tree for bigbooob/sdsxx556656
Base model
segmind/SSD-1B