Instructions to use Muapi/fractal-vines with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Muapi/fractal-vines 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/fractal-vines") 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:
- 5f1ed44c6f490996d2f6b18c155e4115c6fbb98391209fb950acdfc41f4af5bd
- Size of remote file:
- 310 kB
- SHA256:
- faba45a320a2123b6583cd33a54c1660be45f2453ea3ecb432be1fab678c04a4
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