Instructions to use Autodraft/CM2000112 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Autodraft/CM2000112 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Autodraft/CM2000112", 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
File size: 363 Bytes
7fbdac4 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 | import importlib
import os
from internals.util import getcwd
path = os.path.join(getcwd(), "external/scripts")
__scripts__ = []
for name in os.listdir(path):
name = name.split("/")[-1].replace(".py", "")
imp = importlib.import_module(f"external.scripts.{name}")
if hasattr(imp, "Script") and imp not in __scripts__:
__scripts__.append(imp)
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