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("Jovano-vich/thumb")
prompt = "yohannes melese30$"
image = pipe(prompt).images[0]yohannes
- Prompt
- yohannes melese30$
- Negative Prompt
- yohannes melese
- Prompt
- yohannes melese30$
- Negative Prompt
- yohannes melese
- Prompt
- yohannes melese30$
- Negative Prompt
- yohannes melese
- Prompt
- yohannes melese30$
- Negative Prompt
- yohannes melese
- Prompt
- yohannes melese30$
- Negative Prompt
- yohannes melese
- Prompt
- yohannes melese30$
- Negative Prompt
- yohannes melese
- Prompt
- yohannes melese30$
- Negative Prompt
- yohannes melese
- Prompt
- yohannes melese30$
- Negative Prompt
- yohannes melese
- Prompt
- yohannes melese30$
- Negative Prompt
- yohannes melese
- Prompt
- yohannes melese30$
- Negative Prompt
- yohannes melese
- Prompt
- yohannes melese30$
- Negative Prompt
- yohannes melese
- Prompt
- yohannes melese30$
- Negative Prompt
- yohannes melese
- Prompt
- yohannes melese30$
- Negative Prompt
- yohannes melese
- Prompt
- yohannes melese30$
- Negative Prompt
- yohannes melese
- Prompt
- yohannes melese30$
- Negative Prompt
- yohannes melese
- Prompt
- yohannes melese30$
- Negative Prompt
- yohannes melese
- Prompt
- yohannes melese30$
- Negative Prompt
- yohannes melese
- Prompt
- yohannes melese30$
- Negative Prompt
- yohannes melese
Trigger words
You should use yohannes melese30$ to trigger the image generation.
Download model
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Model tree for Jovano-vich/thumb
Base model
black-forest-labs/FLUX.1-dev