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("cocktailpeanut/jojo-dev2pro")
prompt = "two people playing chess, jojo style"
image = pipe(prompt).images[0]jojo-dev2pro
A Flux LoRA trained on a local computer with Fluxgym
- Prompt
- two people playing chess, jojo style
- Prompt
- a little kid eating ice cream, jojo style
- Prompt
- an old doctor, jojo style
Trigger words
You should use jojo style 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 cocktailpeanut/jojo-dev2pro
Base model
black-forest-labs/FLUX.1-dev