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("yvesfogel/sharmac")
prompt = "This is an image of SHARMAC with a warm smile, wearing a black puffer jacket. SHARMAC has curly hair and is photographed in a close-up, candid style against a blurred nighttime background, giving the photo an intimate and friendly atmosphere."
image = pipe(prompt).images[0]SHARMAC
A Flux LoRA trained on a local computer with Fluxgym
- Prompt
- This is an image of SHARMAC with a warm smile, wearing a black puffer jacket. SHARMAC has curly hair and is photographed in a close-up, candid style against a blurred nighttime background, giving the photo an intimate and friendly atmosphere.
- Prompt
- This image features SHARMAC with curly hair, wearing a blue tank top and white pants, arms outstretched with a joyful expression. The neutral background is plain and light-colored, emphasizing SHARMAC's bright smile and dynamic pose.
Trigger words
You should use SHARMAC to trigger the image generation.
Download model and use it with ComfyUI, AUTOMATIC1111, SD.Next, Invoke AI, Forge, etc.
Weights for this model are available in Safetensors format.
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Model tree for yvesfogel/sharmac
Base model
black-forest-labs/FLUX.1-dev