--- 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 tags: - flux - diffusers - lora - replicate base_model: black-forest-labs/FLUX.1-dev pipeline_tag: text-to-image instance_prompt: zipsy_nai widget: - text: >- This is a digital anime-style drawing featuring a female character named tingyun with anthropomorphic fox-like features. She has large, pointed ears with white fur tips and a bushy, dark brown tail that curls around her body. Her skin is a light, smooth complexion, and she has long, wavy brown hair with red highlights, tied into a high ponytail. She has striking green eyes with a hint of mischief in them. She is dressed in a revealing white bikini with intricate with maple leaf accessories. The top is a halter style that accentuates her ample breasts, while the bottom is a high-waisted design that highlights her hips and thighs. She also wears a matching transparent brown sarong covering her hips, which has a floral print pattern. On her wrist, she has a turquoise bracelet, and she wears large, ornate earrings that match the colors of her bikini. she sitting on top of a rock enjoying the scene. The background now features a tranquil spring bath scene, surrounded by blooming cherry blossom trees. The warm steam rises from the natural hot spring, and the rocky edges are softened by moss and scattered petals. The sky above is a soft pink and blue, capturing the serene mood of a spring evening. The light is gentle and diffused, giving the entire scene a peaceful, secluded atmosphere, enhancing the soft, watercolor-inspired shading of the artwork. The color palette is rich and soothing, creating a harmonious blend between the serene environment and the reflective expression of the character. the picture has 0 imperfections, smooth and beautiful picture. no messy spot. the picture has 0 imperfections, smooth and beautiful picture. no messy spot. output: url: images/example_qew9iua90.png - text: >- This is a vibrant anime-style digital illustration, featuring a young chinese woman named Jingliu with a fair skin tone and long, flowing half updo silver-blue hair adorned with a small blue hair bow on the back tying her beautiful hair. She has striking red eyes and a gentle, somewhat shy expression. Her gaze is sideways, giving a subtle, mysterious look from a side profile. Her physique is slender and curvy, with ample breasts accentuated by a revealing two-piece bikini. focus on The top is white with a blue flower pattern, and the bottom is a matching blue fabric tied around her waist, accompanied by a transparent blue sarong. sitting on top of a rock enjoying the scene. The background now features a tranquil spring bath scene, surrounded by blooming cherry blossom trees. The warm steam rises from the natural hot spring, and the rocky edges are softened by moss and scattered petals. The sky above is a soft pink and blue, capturing the serene mood of a spring evening. The light is gentle and diffused, giving the entire scene a peaceful, secluded atmosphere, enhancing the soft, watercolor-inspired shading of the artwork. The color palette is rich and soothing, creating a harmonious blend between the serene environment and the reflective expression of the character. output: url: images/example_g8ymtvwjj.png --- # 2000 Trained on Replicate using: https://replicate.com/ostris/flux-dev-lora-trainer/train ## Trigger words You should use `zipsy_nai` to trigger the image generation. ## Use it with the [🧨 diffusers library](https://github.com/huggingface/diffusers) ```py from diffusers import AutoPipelineForText2Image import torch pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.float16).to('cuda') pipeline.load_lora_weights('hanungaddi/2000', weight_name='lora.safetensors') image = pipeline('your prompt').images[0] ``` For more details, including weighting, merging and fusing LoRAs, check the [documentation on loading LoRAs in diffusers](https://huggingface.co/docs/diffusers/main/en/using-diffusers/loading_adapters)