Instructions to use comin/IterComp with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use comin/IterComp with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("comin/IterComp", 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
- Draw Things
- DiffusionBee
Update README.md (Fix)
#4 opened 7 months ago
by
qpqpqpqpqpqp
There may be issues with generating characters' fingers
👀 1
#3 opened over 1 year ago
by
michaelj
is support controlnet and ip-adapter?
1
#2 opened over 1 year ago
by
michaelj
can it be training free or fast training?
#1 opened over 1 year ago
by
sipie800