Instructions to use Muapi/embroidered-patch-style with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Muapi/embroidered-patch-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("black-forest-labs/FLUX.1-dev", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Muapi/embroidered-patch-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
- Draw Things
- DiffusionBee

- Xet hash:
- 7cca5020890e474b1e2ec1c609d43cf9d1fce7d45f38e110e10a5619e2367779
- Size of remote file:
- 237 kB
- SHA256:
- e217de52d69bb13b93644c6f6a01b059542b003765b9f057e08b1cc69cbecb7a
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