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("codermert/malikafinal")
prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
image = pipe(prompt).images[0]Malika
Usage with 🧨 Diffusers
from diffusers import DiffusionPipeline
import torch
# Load base model
pipeline = DiffusionPipeline.from_pretrained(
"black-forest-labs/FLUX.1-dev",
torch_dtype=torch.float16
).to("cuda")
# Load your LoRA
pipeline.load_lora_weights(
"codermert/malikafinal",
weight_name="lora.safetensors",
adapter_name="malika"
)
# Generate image
image = pipeline(
prompt="portrait of TOK, <malika>, photorealistic, 8K",
negative_prompt="blurry, deformed"
).images[0]
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Base model
black-forest-labs/FLUX.1-dev