--- tags: - text-to-image - stable-diffusion - lora - diffusers - image-generation - flux - safetensors widget: - text: >- ghibli style, a boy and a girl looking out of a window with a cat perched on the window sill. There is a bicycle parked in front of them and a plant with flowers to the right side of the image. The wall behind them is visible in the background. output: url: images/example_1.png - text: >- ghibli style, a girl in a green cloak walking alone through an ancient forest, sunlight piercing through towering trees like stained glass, glowing pollen swirling around her boots, a rusted lantern hanging from her wooden staff, shadows of deer spirits flickering between moss-covered stones, muted emerald and gold color palette output: url: images/example_2.png - text: >- ghibli style, a shepherd boy floating on a wooly cloud-whale, holding a glowing dandelion staff to guide sheep-shaped cumulus, miniature storm clouds grazing nearby, his patched jacket flapping in high-altitude winds, aurora-like ribbons in peach and lavender stretching across the sky output: url: images/example_3.png base_model: black-forest-labs/FLUX.1-dev instance_prompt: >- The background is 4 real photos, and in the middle is a cartoon picture summarizing the real photos license: other license_name: flux-1-dev-non-commercial-license license_link: https://huggingface.co/black-forest-labs/FLUX.1-dev/blob/main/LICENSE.md language: - en library_name: diffusers --- # FLUX.1-dev-LoRA-Ghibli This is a Ghibli style LoRA trained on FLUX.1-dev. ## Trigger words You should use `ghibli style` to trigger the image generation. ## Inference ```python import torch from diffusers import FluxPipeline pipe = FluxPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", torch_dtype=torch.bfloat16) pipe.load_lora_weights("InstantX/FLUX.1-dev-LoRA-Ghibli", weight_name="ghibli_style.safetensors") pipe.fuse_lora(lora_scale=1.0) pipe.to("cuda") prompt = "ghibli style, a shepherd boy floating on a wooly cloud-whale, holding a glowing dandelion staff to guide sheep-shaped cumulus, miniature storm clouds grazing nearby, his patched jacket flapping in high-altitude winds, aurora-like ribbons in peach and lavender stretching across the sky" image = pipe(prompt, num_inference_steps=24, guidance_scale=3.5, width=960, height=1280, ).images[0] image.save(f"example.png") ```