Instructions to use LegoClipStars/GetBlakeBlakeMyers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use LegoClipStars/GetBlakeBlakeMyers with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("InstantX/InstantID", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("LegoClipStars/GetBlakeBlakeMyers") prompt = "NEFT" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download trained_IVF46_Flat_nprobe_1_BlakeMyers_v2.zip from LegoClipStars/GetBlakeBlakeMyers: direct link, hf CLI and curl.
- Browser
- Download file 55.8 MB
-
https://huggingface.co/LegoClipStars/GetBlakeBlakeMyers/resolve/main/trained_IVF46_Flat_nprobe_1_BlakeMyers_v2.zip
- Command line
-
hf download hf://LegoClipStars/GetBlakeBlakeMyers/trained_IVF46_Flat_nprobe_1_BlakeMyers_v2.zip
-
curl -L -o trained_IVF46_Flat_nprobe_1_BlakeMyers_v2.zip https://huggingface.co/LegoClipStars/GetBlakeBlakeMyers/resolve/main/trained_IVF46_Flat_nprobe_1_BlakeMyers_v2.zip
55.8 MB
- Xet hash:
- 40402269462556ec9b48dc5b00af9b9588ea4f215a46795c04516335716d17dc
- Size of remote file:
- 55.8 MB
- SHA256:
- 645e6047877ef0f7a496d5fe4c679e493df4cbc3a66b82b8e3847631c44456a7
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