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("mrTvister/chort")
prompt = "Chort has gray skin, hooves, horns, tail and pig's nose. Chort Sitting astride my little pony. Chort dressed in daily clothes <lora:chort_flux:1>"
image = pipe(prompt).images[0]Chort
- Prompt
- Chort has gray skin, hooves, horns, tail and pig's nose. Chort Sitting astride my little pony. Chort dressed in daily clothes <lora:chort_flux:1>
Trigger words
You should use Chort to trigger the image generation.
You should use gray skin to trigger the image generation.
You should use hooves to trigger the image generation.
You should use horns to trigger the image generation.
You should use tail to trigger the image generation.
You should use pig's nose to trigger the image generation.
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
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Base model
black-forest-labs/FLUX.1-dev