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("l3xx/pinkcowshirt")
prompt = "Woman wearing C0wsh1rt --d 42"
image = pipe(prompt).images[0]pinkcowshirt
A Flux LoRA trained on a local computer with Fluxgym
- Prompt
- Woman wearing C0wsh1rt --d 42
- Prompt
- Woman wearing C0wsh1rt infront a cow on a footballfield--d 42
- Prompt
- Woman wearing C0wsh1rt infront a cow on a footballfield--d 42
Trigger words
You should use C0wsh1rt 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 l3xx/pinkcowshirt
Base model
black-forest-labs/FLUX.1-dev