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--- |
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tags: |
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- text-to-image |
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- lora |
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- diffusers |
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- template:diffusion-lora |
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widget: |
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- text: >- |
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Breathtaking medium shot photography of ohwx, , Skyscraper,Immaculate |
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snowfields glisten under the winter sun,Heavy rain clouds with |
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lightning,soft lighting, dressed in a Victorian-inspired outfit with modern |
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twists and bold makeup,upper body shot, smile, (upper body framing:1.3), |
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sensual lips, eyelashes, (entirely visible beautiful hairstyle:1.2), fine |
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hair detail, perfect eyes, iris pattern, eyes makeup, (perfectly sharp:1.3), |
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(head to shoulders composition:1.4), realistic textures, (deep focus:1.1), |
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negative space around subject, 8k uhd, dslr, ultra high quality image, film |
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grain, Fujifilm XT3 |
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parameters: |
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negative_prompt: EmmaRoberts_flux_lora_v1_Weight-1.0 |
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output: |
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url: >- |
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images/EmmaRoberts_flux_lora_v1_Weight-1.0_2025-01-26_2025-01-26-102801_0.png |
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base_model: black-forest-labs/FLUX.1-dev |
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instance_prompt: ohwx |
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license: unknown |
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--- |
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# Emma Roberts |
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<Gallery /> |
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## Model description |
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FROM https://civitai.com/models/1185440/emma-roberts-flux |
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Trigger ohwx |
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Strength 1 |
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Guidance: 2.2-3 |
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Steps (dev): 30-40 |
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π *** If you love it, like it! ***π |
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workflow: https://civitai.com/models/1088678 |
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π Emma Roberts π¬ |
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About my celebrities loras |
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90% of the dataset used to build my loras only use head images. That really help the blend with other lora or model as there is no hands, feet, that may or will interfere in the final image render. When you get distorted hands with a person lora, it's because there is info on hands in the dataset used to train the lora, but that will not happen with my loras. |
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I've trained on Flux.1 Dev so other merged or trained checkpoint may not work well with my loras. |
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The drawback side of that is that the body may not be reflecting the reality. It may not be a drawback tho. |
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This is a lora for Flux.1 Dev. Work with other model but you must drop some simple bloc (good start 19-32). |
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Trained with ai-toolkit, so merging it is not easy. |
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To get the best result |
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Guidance: 2.2-3 |
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Steps (dev): 30-40 |
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daemon detailer (lying sigma sampler): factor: -0.02, start 0.06, end 0.75 |
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Resolution: Upscale the latent by 1.25 or 1.5 you'll get awsome result. (take longer time but worth it) |
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Trigger word is (may work better in certain context): ohwx |
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Enjoy! |
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## Trigger words |
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You should use `ohwx` to trigger the image generation. |
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## Download model |
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Weights for this model are available in Safetensors format. |
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[Download](/Jonjew/EmmaRoberts/tree/main) them in the Files & versions tab. |
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