Instructions to use Devil2D2/Model_anything_diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Devil2D2/Model_anything_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("Devil2D2/Model_anything_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:
- d2820359c4ad3027b615c41bd339677388dd8e5bb03609a1db0b513d36fb3877
- Size of remote file:
- 3.46 GB
- SHA256:
- 354b8c571d3abe963e1520d3b4e0647be519841f4376fc5d16f7f5e7859f7d49
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