Instructions to use Edweibin/flux-dev-nfsw with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Edweibin/flux-dev-nfsw 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("Edweibin/flux-dev-nfsw") prompt = "a girl laughing" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Upload NSFW_master.safetensors
Browse files- NSFW_master.safetensors +3 -0
NSFW_master.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:84ce473cdeaa1ddd016cdf0406e08b43bb14c01d2c94ef48da2a035bb0b925c2
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size 171969344
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