Instructions to use SpiderSteeped/milly with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use SpiderSteeped/milly 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/milly") prompt = "photograph, As the sun begins to set, Milly Alcock with long platinum hair and piercing lavender colored eyes wanders through a dark neon-lit city wearing a red high-neck dress. Fujicolor Superia X-TRA 400, 50mm, <lora:aidmaImageUprader-FLUX-v0.3:0.4> <lora:Milly_Alcock_V1-000032:1.0> <lora:aidmaMJ6.1-FLUX-v0.4:0.7000000000000001>" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Add 2 files
Browse files
Milly_Alcock_Flux.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:5bc0682fd212b6c58e74b54fb3815d77035ff6503764f99a328626978a3e193e
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size 19309832
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images/859b327f-4de9-485f-b2a6-10ac04cf54b2.png
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Git LFS Details
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