--- 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 base_model: black-forest-labs/FLUX.1-schnell pipeline_tag: text-to-image instance_prompt: In the stlye of LBRTR library_name: diffusers inference: parameters: width: 1024 height: 1024 widget: - text: >- SAMHTR style game background. The camera is positioned at the entrance of the café, offering a clear view of the charming and playful exterior: Café Entrance: The entrance to the café features a bright, welcoming façade with white wooden siding and a red-tiled roof. The back door is adorned with simple, colorful flower pots on either side. The door itself is framed with a cheerful design, including a decorative awning that provides shade and adds a touch of whimsy. Outdoor Seating Area: Directly in front of the entrance, there’s a cozy outdoor seating area. The tables and chairs are designed with playful elements, such as tables shaped like oversized pastries and chairs with coffee mug backrests. The design is simplified to avoid clutter but maintains the café’s cheerful theme. Decorative Elements: The walls around the entrance are adorned with minimal yet vibrant murals depicting coffee cups, cakes, and other café-themed items. There are also a few hanging lanterns or string lights to add a warm and inviting glow. Pathway: The pathway leading to the café entrance is made of colorful cobblestones, but the design is straightforward and not overly intricate. The path is lined with a few decorative plants and shrubs with bright, cartoonish features, but kept simple. Adjacent Features: To the sides of the entrance, you can see parts of the nearby areas, such as the adventure tourism shop and the retro appliance store example_title: Café outdoor scene output: url: samples/sample_1.png - text: A photo of a flower, in the style of LBRTR output: url: images/example_n13kg3os6.png - text: a photo of a dog, in the style of LBRTR output: url: images/example_mr52j6uo8.png --- # Flux Samhtr Remastered Trained on Replicate using: https://replicate.com/ostris/flux-dev-lora-trainer/train ## Trigger words You should use `LBRTR` 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('lichorosario/flux-samhtr-remastered', 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)