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("NeuralGL/nothuman")
prompt = "A fat bald man, wearing suit, big scary smile, looks like politician, suit, full-body, in style of NotHuman"
image = pipe(prompt).images[0]NotHuman
A Flux LoRA trained on a local computer with Fluxgym
- Prompt
- A fat bald man, wearing suit, big scary smile, looks like politician, suit, full-body, in style of NotHuman
- Prompt
- A woman, looks anorexic a bit, tired, wearing old sweater, holds a cat, in style of NotHuman
Trigger words
You should use NotHuman 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 NeuralGL/nothuman
Base model
black-forest-labs/FLUX.1-dev