Instructions to use Muapi/seethroughol with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Muapi/seethroughol 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", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Muapi/seethroughol") 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:
- 4a0c4bf599876a2b00eccefcd3294dcf45a569131739a4d0eda2627cacaefc27
- Size of remote file:
- 499 kB
- SHA256:
- 41e7e7faa66c52de1f55f77aaffae0c0ab266c3fd4e28fc376c9d112bef54e1d
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