Instructions to use SpiderSteeped/moon with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use SpiderSteeped/moon 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("SpiderSteeped/moon") prompt = "-" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Add 2 files
Browse files
images/_4a6b7416-e4e7-451e-ab01-087c7c7a2ff8.jpg
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Git LFS Details
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mooning_upskirt_flux-000028.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:8a7aa26cd144d1cfc441513a63818c215921ec9b91818fc0e3b2de4242bb9c5f
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size 336475976
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