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("mcante/marcio-4p")
prompt = "MARCIO in a chair dressed like a king like in medieval times"
image = pipe(prompt).images[0]MARCIO-4p
A Flux LoRA trained on a local computer with Fluxgym
- Prompt
- MARCIO in a chair dressed like a king like in medieval times
Trigger words
You should use MARCIO 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.
- Downloads last month
- 11
Model tree for mcante/marcio-4p
Base model
black-forest-labs/FLUX.1-dev