Instructions to use anthienlong/artful with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use anthienlong/artful 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("anthienlong/artful") prompt = "The image is a portrait of a woman sitting on a vintage armchair. She is wearing a black and white masquerade mask with large pointed ears and a black face paint. The mask is intricately designed with a skull-like shape and sharp teeth. The woman is also wearing a long-sleeved lace-like outfit with a plunging neckline and a corset-like bodysuit. She has long dark hair and is holding a black purse in her hands. The background is blurred but it appears to be a room with ornate furniture and a window with white curtains. The overall mood of the image is dark and mysterious., 1girl, breasts, nipples, solo, black hair, long hair, chain, mask, medium breasts, sitting" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Add 2 files
Browse files- Artful_NSFW.safetensors +3 -0
- images/artful.jpeg +3 -0
Artful_NSFW.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:b8b4440b2e85f9a0780a1e67840f284b4b69d43a2826d88d7cfd09428e24b807
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size 19399544
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images/artful.jpeg
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Git LFS Details
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