Text-to-Image
Diffusers
Safetensors
French
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
Instructions to use Acadys/PointConImageModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Acadys/PointConImageModel with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Acadys/PointConImageModel", 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
File size: 135 Bytes
c35c070 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:5e325bbaac4ab436cd2678ba330c3d5e8f0360571e93a6120e101d8cdbcf0904
size 6876749715
|