Instructions to use anshumansinghr/OmegaMoonWatch with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use anshumansinghr/OmegaMoonWatch with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("LAXMAYDAY/FLUX.2-dev-int8-tensorwise", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("anshumansinghr/OmegaMoonWatch") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
|
Download README.md from anshumansinghr/OmegaMoonWatch: direct link, hf CLI and curl.
- Browser
- Download file 496 Bytes
-
https://huggingface.co/anshumansinghr/OmegaMoonWatch/resolve/main/README.md
- Command line
-
hf download hf://anshumansinghr/OmegaMoonWatch/README.md
-
curl -L -o README.md https://huggingface.co/anshumansinghr/OmegaMoonWatch/resolve/main/README.md
496 Bytes
| tags: | |
| - text-to-image | |
| - lora | |
| - diffusers | |
| - template:diffusion-lora | |
| widget: | |
| - output: | |
| url: images/Omega_WatchMoon_Square002_1328X1328.png | |
| text: '-' | |
| base_model: LAXMAYDAY/FLUX.2-dev-int8-tensorwise | |
| instance_prompt: OmegaMoonWatch | |
| license: apache-2.0 | |
| # OmegaMoonWatch_Flux.2Dev | |
| <Gallery /> | |
| ## Trigger words | |
| You should use `OmegaMoonWatch` to trigger the image generation. | |
| ## Download model | |
| [Download](/anshumansinghr/OmegaMoonWatch/tree/main) them in the Files & versions tab. | |