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("LandonAbundre/SkiSlopeTiddies")
prompt = "-"
image = pipe(prompt).images[0]SkiSlopeTiddies
- Prompt
- -
Model description
Strengths near 1.0 will center your gens on the breasts, almost always cutting the head out of frame. Good for inpainting/detailing, bad for original gens. 0.6 to 0.75 is a good range to bring that face back into frame. Adding things like "eye contact" help a lot too. This version also responds very well to small/medium/large swooping breasts prompts
Trigger words
You should use SteepSlopeTiddies to trigger the image generation.
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Model tree for LandonAbundre/SkiSlopeTiddies
Base model
black-forest-labs/FLUX.1-dev