Instructions to use EnD-Diffusers/AgendaMix1pt5PDXL_Diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use EnD-Diffusers/AgendaMix1pt5PDXL_Diffusers with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("EnD-Diffusers/AgendaMix1pt5PDXL_Diffusers", 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:
- 3745565d59ad961e71d1f0bc8ad49513ab4be36819b6f4ac26830c8efbc31e34
- Size of remote file:
- 246 MB
- SHA256:
- e8dc7948447f0e791ab87978b54cea9f3d1b2d8c405d8e52e49cb07b8e2a67fe
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.