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("gofixyourself/vasya-lozhkin")
prompt = "A Soviet apartment block in Moscow at night, glowing windows, orange cat with a red nose on the rooftop, satirical surreal painting in Vasya Lozhkin style"
image = pipe(prompt).images[0]vasya-lozhkin
Model trained with AI Toolkit by Ostris
- Prompt
- A Soviet apartment block in Moscow at night, glowing windows, orange cat with a red nose on the rooftop, satirical surreal painting in Vasya Lozhkin style
- Prompt
- A Moscow metro station with chandeliers and rushing commuters, exaggerated expressions and an orange cat watching, surreal painting in Vasya Lozhkin style
Trigger words
You should use in Vasya Lozhkin style to trigger the image generation.
Download model and use it with ComfyUI, AUTOMATIC1111, SD.Next, Invoke AI, etc.
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('black-forest-labs/FLUX.1-dev', torch_dtype=torch.bfloat16).to('cuda')
pipeline.load_lora_weights('gofixyourself/vasya-lozhkin', weight_name='vasya-lozhkin.safetensors')
image = pipeline('A Soviet apartment block in Moscow at night, glowing windows, orange cat with a red nose on the rooftop, satirical surreal painting in Vasya Lozhkin style').images[0]
image.save("my_image.png")
For more details, including weighting, merging and fusing LoRAs, check the documentation on loading LoRAs in diffusers
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Model tree for gofixyourself/vasya-lozhkin
Base model
black-forest-labs/FLUX.1-dev