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("chriswang2025/test-lora")
prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
image = pipe(prompt).images[0]LoRA Model: AldaraLora_Civitai_FLUX_Wave_V3_2
Test LoRA model exported from API server
Usage
Trigger Word
Use the following trigger word in your prompts:
AldaraLora_Civitai_FLUX_Wave_V3_2
Example
from diffusers import DiffusionPipeline
import torch
pipe = DiffusionPipeline.from_pretrained(
"black-forest-labs/FLUX.1-dev",
torch_dtype=torch.float16
)
pipe.load_lora_weights("chriswang2025/chris")
prompt = "AldaraLora_Civitai_FLUX_Wave_V3_2, a beautiful landscape"
image = pipe(prompt).images[0]
image.save("output.png")
Model Details
- Trigger Word:
AldaraLora_Civitai_FLUX_Wave_V3_2 - Base Model: FLUX.1-dev
- Type: LoRA (Low-Rank Adaptation)
- Version: 1.0
License
MIT License
- Downloads last month
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Model tree for chriswang2025/test-lora
Base model
black-forest-labs/FLUX.1-dev