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--- |
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base_model: black-forest-labs/FLUX.1-schnell |
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license: apache-2.0 |
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tags: |
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- autotrain |
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- spacerunner |
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- text-to-image |
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- flux |
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- lora |
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- diffusers |
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- template:sd-lora |
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widget: |
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- text: A realistic IPhone 15 selfie of FluxTLucas |
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output: |
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url: samples/1726116583723__000001000_0.jpg |
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- text: A cinematic shot of FluxTLucas driving in high speed |
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output: |
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url: samples/1726116601191__000001000_1.jpg |
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- text: A FluxTLucas riding a flying white horse in a sundown sky |
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output: |
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url: samples/1726116618657__000001000_2.jpg |
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instance_prompt: FluxTLucas |
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--- |
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# flucasx-treinado |
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Model trained with [AI Toolkit by Ostris](https://github.com/ostris/ai-toolkit) |
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<Gallery /> |
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## Trigger words |
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You should use `FluxTLucas` to trigger the image generation. |
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## Download model and use it with ComfyUI, AUTOMATIC1111, SD.Next, Invoke AI, etc. |
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Weights for this model are available in Safetensors format. |
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[Download](/RodrigoFlorencio/flucasx-treinado/tree/main) them in the Files & versions tab. |
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## Use it with the [🧨 diffusers library](https://github.com/huggingface/diffusers) |
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```py |
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from diffusers import AutoPipelineForText2Image |
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import torch |
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pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-schnell', torch_dtype=torch.bfloat16).to('cuda') |
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pipeline.load_lora_weights('RodrigoFlorencio/flucasx-treinado', weight_name='flucasx-treinado') |
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image = pipeline('A realistic IPhone 15 selfie of FluxTLucas').images[0] |
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image.save("my_image.png") |
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``` |
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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) |
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