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("unknownmixorgacc/delphin_d2p_delphin")
prompt = "A bright, sunlit meadow with lush green grass and colorful wildflowers. In the center stands delphin —she is wearing a light, pastel sundress and holding a handmade sign that reads “I LOVE SUN!” in cheerful, bold letters. She’s smiling warmly at the camera, surrounded by a gentle breeze that slightly rustles the flowers and grass. In the distance, softly rolling hills stretch under a clear, cloudless sky. The overall atmosphere is vibrant, summery, and filled with positive energy."
image = pipe(prompt).images[0]delphin
A Flux LoRA trained on a local computer with Fluxgym
- Prompt
- A bright, sunlit meadow with lush green grass and colorful wildflowers. In the center stands delphin —she is wearing a light, pastel sundress and holding a handmade sign that reads “I LOVE SUN!” in cheerful, bold letters. She’s smiling warmly at the camera, surrounded by a gentle breeze that slightly rustles the flowers and grass. In the distance, softly rolling hills stretch under a clear, cloudless sky. The overall atmosphere is vibrant, summery, and filled with positive energy.
Trigger words
You should use delphin 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 unknownmixorgacc/delphin_d2p_delphin
Base model
black-forest-labs/FLUX.1-dev