Instructions to use SidXXD/actionfigure2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use SidXXD/actionfigure2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("SidXXD/actionfigure2", dtype=torch.bfloat16, device_map="cuda") prompt = "photo of a <new1> actionfigure" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 4d7d88f7141929bf6cdc2c1a3b29ab480e73fd3e56e9bea33cf8f3fba28ac241
- Size of remote file:
- 76.7 MB
- SHA256:
- 20405f192653d46192ccc585c09ba2a360896e71cf842d9201302c21663c57c8
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