import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("rupeshs/LCM-runwayml-stable-diffusion-v1-5", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("fahminoor/zenmagh3")
prompt = "zenmagh, single glass bottle with white plastic cap, product packshot, bottle only, white seamless background, softbox studio lighting, soft shadow on table, sharp edges, realistic materials, 50mm photo"
image = pipe(prompt).images[0]zenmagh3
- Prompt
- zenmagh, single glass bottle with white plastic cap, product packshot, bottle only, white seamless background, softbox studio lighting, soft shadow on table, sharp edges, realistic materials, 50mm photo
- Negative Prompt
- box, pump, nozzle, logo distortion
- Prompt
- -
Model description
bottle of suplement product
Trigger words
You should use zenmagh to trigger the image generation.
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Base model
rupeshs/LCM-runwayml-stable-diffusion-v1-5