Instructions to use AiAF/Eefoj_Flux1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use AiAF/Eefoj_Flux1 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("AiAF/Eefoj_Flux1") prompt = "Eefoj \\(Artist\\), @EefojLuk, @eefojsoup, 1boy, brown hair, open mouth, black eyes, shirt, t-shirt, solo, male focus, upper body, yellow shirt, cracked wall, indoors, A digital illustration of a young boy with a frown on his face. The boy is wearing a yellow t-shirt and a brown hat. He is standing in front of a wall with a dark background." image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Commit History
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Eefoj_Flux1 Repo update. Uploading the following: sample images, latents cache archive (.zip), config.yaml (settings used), all LoRA versions packed up in a zip archive, a zip archive of all iterations, and the archived optimizer.zip
25737db -
Eefoj_Flux1 Repo update. Uploading the following: sample images, latents cache archive (.zip), config.yaml (settings used), all LoRA versions packed up in a zip archive, a zip archive of all iterations, and the archived optimizer.zip
eafe78b -
Eefoj_Flux1 Repo update. Uploading the following: sample images, latents cache archive (.zip), config.yaml (settings used), all LoRA versions packed up in a zip archive, a zip archive of all iterations, and the archived optimizer.zip
41b7156 -
initial commit
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