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
- Xet hash:
- 703c68826a67aba9942803522c94815342e930c8408488124cb143dbda282021
- Size of remote file:
- 3.44 GB
- SHA256:
- 2ada6fdc31e02241e48b8cf3157c88333fd12dff2aaa658e138d504642b30037
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