Text-to-Image
Diffusers
stable-diffusion
lora
template:sd-lora
migrated
character
kendrick lamar
the protoart
kendrick_lamar
import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("runwayml/stable-diffusion-v1-5", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("brushpenbob/kendrick-lamar")
prompt = " "
image = pipe(prompt).images[0]Kendrick Lamar
- Prompt
- Prompt
- Prompt
- Prompt
- Prompt
- Prompt
- Prompt
Model description
using around 25 img i tried to recreate Kdot
Trigger words
You should use Kendrick_lamar, evang to trigger the image generation.
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
Use it with the 🧨 diffusers library
from diffusers import AutoPipelineForText2Image
import torch
pipeline = AutoPipelineForText2Image.from_pretrained('runwayml/stable-diffusion-v1-5', torch_dtype=torch.float16).to('cuda')
pipeline.load_lora_weights('brushpenbob/kendrick-lamar', weight_name='Kdot.safetensors')
image = pipeline('`Kendrick_lamar`, `evang`').images[0]
For more details, including weighting, merging and fusing LoRAs, check the documentation on loading LoRAs in diffusers
- Downloads last month
- 5
Model tree for brushpenbob/kendrick-lamar
Base model
runwayml/stable-diffusion-v1-5