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("cboard-org/testfull")
prompt = "a pictogram of a horse in mars riding a bike, (vectorized, drawing, simplified, rounded face, digital art, icon)"
image = pipe(prompt).images[0]fullpicto
- Prompt
- a pictogram of a horse in mars riding a bike, (vectorized, drawing, simplified, rounded face, digital art, icon)
- Negative Prompt
- (words, letters, text, numbers, symbols), (details, open traces, sharp corners, distorted proportion), (lip, nose, tooth, rouge, wrinkles, detailed face, deformed body, extra limbs)
Model description
test
Trigger words
You should use picto to trigger the image generation.
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Weights for this model are available in Safetensors format.
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Base model
runwayml/stable-diffusion-v1-5