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
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Flux2_Dev_Lora_OmegaMoon_Watch_10_Steps3000.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:0684b2b4cb35bf86cefbd594dff518fb2467b1cd5feb7c3dd75b8a8bcd8fc21b
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size 390112232
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images/Omega_WatchMoon_Square002_1328X1328.png
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Git LFS Details
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