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]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
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runwayml/stable-diffusion-v1-5