Instructions to use Muapi/action-figure-style with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Muapi/action-figure-style with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-base-1.0", torch_dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Muapi/action-figure-style") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee

- Xet hash:
- 819179950790d5cf9a9c4dcc4d0a0ae5bc32ada52fc92b182db4e66952a2bbb7
- Size of remote file:
- 303 kB
- SHA256:
- f6a5f47866d0b43e612d972b841246604c2f3115197a776ccd4bebb3e4ca2334
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