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README.md
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---
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tags:
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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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- ai-toolkit
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widget:
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- text: medium wide shot, somber and cinematic scene, fantasy, game digital art,
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a fallen knight resting against a gravestone in a snow-covered graveyard,
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the knight clad in full armor, grips a sword with hand, the blade buried in
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the snow, Snowflakes gently fall around him, melancholic atmosphere, background
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is a dark gothic castle looms that obscured by the swirling snow and mist,
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haunting beauty of a warrior's final rest
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output:
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url: samples/1728361806343__000004700_0.jpg
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base_model: black-forest-labs/FLUX.1-dev
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license: other
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license_name: flux-1-dev-non-commercial-license
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license_link: https://huggingface.co/black-forest-labs/FLUX.1-dev/blob/main/LICENSE.md
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---
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# cine_cap_16
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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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No trigger words defined.
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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](/ohcaidek/CineLora_Flux/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-dev', torch_dtype=torch.bfloat16).to('cuda')
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pipeline.load_lora_weights('ohcaidek/CineLora_Flux', weight_name='cine_cap_16.safetensors')
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image = pipeline('medium wide shot, somber and cinematic scene, fantasy, game digital art, a fallen knight resting against a gravestone in a snow-covered graveyard, the knight clad in full armor, grips a sword with hand, the blade buried in the snow, Snowflakes gently fall around him, melancholic atmosphere, background is a dark gothic castle looms that obscured by the swirling snow and mist, haunting beauty of a warrior's final rest').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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version https://git-lfs.github.com/spec/v1
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