--- tags: - text-to-image - stable-diffusion - lora - diffusers - image-generation - flux - safetensors widget: - text: >- Installation art style, A colorful inflatable bear is wrapped in a clear plastic bag against a white background,dolls made from inflatable garbage bags,colorful,huge toys,on a white background,artist's exhibition,environmental art, output: url: images/6e086917898ed6abfa2ee8b7534efdeb741fe03022d2aeaf7fc27c79.jpg - text: >- Installation art style, Inflatable transparent plastic bag full of Coke bottles output: url: images/42e944819b43869a03dc252d10409b5944a62494c7082816121016f9.jpg - text: >- A colorful plastic-wrapped figure resembling a bird sits against a white background with a transparent plastic bag draped over its shoulder output: url: images/2063ac89e584b7507cc1d11535987e8ec48f43c61bb12b8a6865d2ac.jpg base_model: black-forest-labs/FLUX.1-dev instance_prompt: Inflatable plastic bag 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 --- # FLUX.1-dev-LoRA-Garbage-Bag-Art This is a LoRA (Garbage-Bag-Art) trained on FLUX.1-dev by [Hongke](https://www.shakker.ai/userpage/b1f1d4128cec474c8085576e6c9fb761/publish) on [Shakker AI](https://www.shakker.ai/modelinfo/0210878e637047c6bad4db62ebfcefe8?from=feed).
## Showcases ## Trigger words You should use `Inflatable plastic bag` as trigger words. The recommended scale is `1.0` in diffusers. ## 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("Shakker-Labs/FLUX.1-dev-LoRA-Garbage-Bag-Art", weight_name="FLUX-dev-lora-Garbage-Bag-Art.safetensors") pipe.fuse_lora(lora_scale=1.1) pipe.to("cuda") prompt = "Installation art style, A colorful inflatable bear is wrapped in a clear plastic bag against a white background,dolls made from inflatable garbage bags,colorful,huge toys,on a white background,artist's exhibition,environmental art," image = pipe(prompt, num_inference_steps=24, guidance_scale=3.5, ).images[0] image.save(f"example.png") ``` ## Online Inference You can also download this model at [Shakker AI](https://www.shakker.ai/modelinfo/ae11c92961ac493e819a5a24b6fa1cbc?from=personal_page), where we provide an online interface to generate images. ## Acknowledgements This model is trained by our copyrighted users [Hongke](https://www.shakker.ai/userpage/b1f1d4128cec474c8085576e6c9fb761/publish). We release this model under permissions. The model follows [flux-1-dev-non-commercial-license](https://huggingface.co/black-forest-labs/FLUX.1-dev/blob/main/LICENSE.md).