| | --- |
| | tags: |
| | - text-to-image |
| | - flux |
| | - lora |
| | - diffusers |
| | - template:sd-lora |
| | - ai-toolkit |
| | widget: |
| | - text: '[trigger] ADscenario describing a left turn intersection. The ego vehicle |
| | wants to turn left' |
| | output: |
| | url: samples/1749822270115__000002000_0.jpg |
| | - text: '[trigger] ADscenario describing a driving maneuver on highway. The ego |
| | vehicle drives behind a front vehicle on the right lane on the highway' |
| | output: |
| | url: samples/1749822279237__000002000_1.jpg |
| | - text: '[trigger] ADscenario describing a an evasion maneuver. The ego vehicle |
| | change the lane in urban environment' |
| | output: |
| | url: samples/1749822288385__000002000_2.jpg |
| | - text: '[trigger] ADscenario describing a driving situation in a construction site. |
| | The ego vehicle drives between cones' |
| | output: |
| | url: samples/1749822297518__000002000_3.jpg |
| | - text: '[trigger] ADscenario describing a traffic light driving situation. The |
| | ego vehicle stops for a red light' |
| | output: |
| | url: samples/1749822306643__000002000_4.jpg |
| | base_model: black-forest-labs/FLUX.1-schnell |
| | instance_prompt: ADscenario |
| | license: apache-2.0 |
| |
|
| |
|
| | --- |
| | |
| | # loraSayed |
| | Model trained with [AI Toolkit by Ostris](https://github.com/ostris/ai-toolkit) |
| | <Gallery /> |
| |
|
| | ## Trigger words |
| |
|
| | You should use `ADscenario` to trigger the image generation. |
| |
|
| | ## Download model and use it with ComfyUI, AUTOMATIC1111, SD.Next, Invoke AI, etc. |
| |
|
| | Weights for this model are available in Safetensors format. |
| |
|
| | [Download](/TFree2035/FluxScenario2/tree/main) them in the Files & versions tab. |
| |
|
| | ## 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-schnell', torch_dtype=torch.bfloat16).to('cuda') |
| | pipeline.load_lora_weights('TFree2035/FluxScenario2', weight_name='loraSayed.safetensors') |
| | image = pipeline('[trigger] ADscenario describing a left turn intersection. The ego vehicle wants to turn left').images[0] |
| | image.save("my_image.png") |
| | ``` |
| |
|
| | 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) |
| |
|
| |
|
