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README.md

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+---
+tags:
+- text-to-image
+- flux
+- lora
+- diffusers
+- template:sd-lora
+- ai-toolkit
+widget:
+-   text: A realistic IPhone 15 selfie of FluxTLucas
+    output:
+        url: samples/1726116583723__000001000_0.jpg
+-   text: A cinematic shot of FluxTLucas driving in high speed
+    output:
+        url: samples/1726116601191__000001000_1.jpg
+-   text: A FluxTLucas riding a flying white horse in a sundown sky
+    output:
+        url: samples/1726116618657__000001000_2.jpg
+base_model: black-forest-labs/FLUX.1-schnell
+instance_prompt: FluxTLucas
+license: apache-2.0
+
+
+---
+
+# flucasx-treinado
+Model trained with [AI Toolkit by Ostris](https://github.com/ostris/ai-toolkit)
+<Gallery />
+
+## Trigger words
+
+You should use `FluxTLucas` 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](/RodrigoFlorencio/flucasx-treinado/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('RodrigoFlorencio/flucasx-treinado', weight_name='flucasx-treinado')
+image = pipeline('A realistic IPhone 15 selfie of FluxTLucas').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)
+

flucasx-treinado.safetensors

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+version https://git-lfs.github.com/spec/v1
+oid sha256:31ca19961929a55120d85d2bbab41b1a76b9eacb189452427621f3bb220607a2
+size 171969416