Instructions to use poctexttoimage/checking-model-1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use poctexttoimage/checking-model-1 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("poctexttoimage/checking-model-1", 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
- Local Apps Settings
- Draw Things
- DiffusionBee
Commit History
-
update handler
3de8d46 -
IndentationError fix
15c460b -
Update handler.py
39d14b6 -
Update handler.py
1c337b5 -
base64 encode error
d46f57b -
adding logging to handler.py
f4f42c3 -
change pipeline to user StableDiffusionXLPipeling
ffa81ea -
disable safety_checker
5047451 -
disable feature_extractor and adapter in Custom Adapter Pipeline
8e09c90 -
add tokenizer.json
c7cce8f -
add tokenizer.json
30e6d56 -
add tokenizer.json
03fc603 -
upload handler
5fb4029 -
add requirements
2802bb2 -
add handler.py
49fc5ea -
Duplicate from stabilityai/stable-diffusion-xl-base-1.0
Co-authored-by: Robin Rombach <rromb@users.noreply.huggingface.co>c4b60d4