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 Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 66b7df31064f6cad0e3fa01ccc7c120ac754f88891099b77f94199f96fd3fcec
- Size of remote file:
- 1.22 GB
- SHA256:
- 64b8393f1afd5a0c1ed2aa5f341fa7c08286839a48f3743162a76a2835c808bd
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