Instructions to use ikysu/fiamix with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ikysu/fiamix with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline from diffusers.utils import load_image # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("runwayml/stable-diffusion-v1-5", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("ikysu/fiamix") prompt = "1boy, black eyes, black hair, blurry, blurry foreground, caution tape, clothes writing, depth of field, english text, glasses, holding, long sleeves, male focus, photo \\(medium\\), realistic, round eyewear, shirt, solo, upper body, yellow coat, yellow hoodie, yellow jacket, yellow raincoat, yellow shirt" input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png") image = pipe(image=input_image, prompt=prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
fiamix

- Prompt
- 1boy, black eyes, black hair, blurry, blurry foreground, caution tape, clothes writing, depth of field, english text, glasses, holding, long sleeves, male focus, photo \(medium\), realistic, round eyewear, shirt, solo, upper body, yellow coat, yellow hoodie, yellow jacket, yellow raincoat, yellow shirt
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
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Model tree for ikysu/fiamix
Base model
runwayml/stable-diffusion-v1-5