import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("stablediffusionapi/aniverse", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("iamkprasad/aniversekrishna")
prompt = "1boy, <lora:SRJ:0.5> srj as krishna, charismatic face, garden background, golden warrior costume, golden head crown with peacock feather, handsome, charismatic face , garland, <lora:epinoiseoffset:1> <lora:adddetailer:1>"
image = pipe(prompt).images[0]aniversekrishna
.png)
- Prompt
- 1boy, <lora:SRJ:0.5> srj as krishna, charismatic face, garden background, golden warrior costume, golden head crown with peacock feather, handsome, charismatic face , garland, <lora:epinoiseoffset:1> <lora:adddetailer:1>
- Negative Prompt
- (worst quality:1.6, low quality:1.6), (zombie, sketch, interlocked fingers, comic), beard, female, sparks, sparkle
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Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
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Model tree for iamkprasad/aniversekrishna
Base model
stablediffusionapi/aniverse