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("CKlen/cklen-1975")
prompt = "[cklen-1975], a contemplative man with deep-set eyes gazes into the camera, surrounded by soft, diffused light. The background features bright colors in a soft daylight golden hour cityscape landscape, enhancing his introspective expression in a head and shoulders portrait composition, evoking a moody, cinematic style."
image = pipe(prompt).images[0]cklen-1975
A Flux LoRA trained on a local computer with Fluxgym
- Prompt
- [cklen-1975], a contemplative man with deep-set eyes gazes into the camera, surrounded by soft, diffused light. The background features bright colors in a soft daylight golden hour cityscape landscape, enhancing his introspective expression in a head and shoulders portrait composition, evoking a moody, cinematic style.
Trigger words
You should use [cklen-1975] to trigger the image generation.
Download model and use it with ComfyUI, AUTOMATIC1111, SD.Next, Invoke AI, Forge, etc.
Weights for this model are available in Safetensors format.
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Model tree for CKlen/cklen-1975
Base model
black-forest-labs/FLUX.1-dev