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("alexeyGod/Test23")
prompt = "man TomBig, underwear,he is cooking "
image = pipe(prompt).images[0]ggg
- Prompt
- man TomBig, underwear,he is cooking
- Negative Prompt
- ng_deepnegative_v1_75t,(badhandv4:1.2),EasyNegative,(worst quality:2),,nsfw
Trigger words
You should use TomBig 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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Model tree for alexeyGod/Test23
Base model
black-forest-labs/FLUX.1-dev