Update README.md
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README.md
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@@ -11,10 +11,11 @@ The embedding should work on any model that uses SD v2.0 as a base.
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The TungstenDispo embedding were trained for 1000 epochs with a gradient batch size of 50.
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A total of ~100 training images of tungsten photographs taken with CineStill 800T were used. The split was around 50/50 people landscapes.
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I used it on 0.3 strength, and it seems like it makes the eyes slightly less wonky. Unclear extent of effect.
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<div align="center">
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<img src="https://huggingface.co/fzbuzz/TungstenDispo-embedding-sd-v2-1/resolve/main/00000.png">
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@@ -39,16 +40,25 @@ Sampler: Euler-A, 20 Steps, CFG: 7.0. Slightly cherry-picked for best pictures.
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900x768 -> 4x LDSR upscaled
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Negative Prompt for all images (Not entirely sure if all of them matter, but does help a bit):
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> (Neg_Facelift768:0.3), (blur:0.3), (cropped:1.3), (ugly:1.3), (bad anatomy:1.2), (disfigured:1.1), (deformed:1.1), (bad proportions:1.3), (extra limbs:1.2), (missing fingers:1.2), (extra fingers:1.2), (out of frame:1.3), (makeup:1.1)
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Positive Prompts:
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>TungstenDispo, photoshoot of a asian female model with white hair, in a dark room, (closeup:0.2)
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Second Image:
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>(TungstenDispo:1.3), photoshoot of a (model:0.7), posed, in a dark room, highly detailed, (closeup:0.2), (skin pores:0.5)
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Third Image:
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>(TungstenDispo:1.2), photoshoot of a model, posed, in a dark room, (closeup:0.2)
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Fourth Image:
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>TungstenDispo, photoshoot of a male model with white hair, posed, in a dark room, (closeup:0.2)
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**Usage for A1111 WebUI**
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@@ -73,9 +83,10 @@ Sampler: DDIM, 80 Steps, CFG: 7.0. Slightly cherry-picked for best pictures.
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768x1024
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Positive Prompt (bolded part altered for image)
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>(TungstenStyle:1.5), cinematic shot of a (empty:1.5) **symmetric glass foyer at night with light faintly shining through the windows**, highly detailed
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Negative Prompt:
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>billboards, signs, words, (blur:0.2)
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<div align="center">
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<img src="https://huggingface.co/fzbuzz/TungstenDispo-embedding-sd-v2-1/resolve/main/background_sample.png">
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</div>
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The TungstenDispo embedding were trained for 1000 epochs with a gradient batch size of 50.
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A total of ~100 training images of tungsten photographs taken with CineStill 800T were used. The split was around 50/50 people landscapes.
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The effect isn't quite the tungsten photo effect I was going for, but creates very nice, artistic portraits of people. For some of the people, I used SoCalGuitarist's [Negative FaceLift](https://civitai.com/models/2385/socalguitarists-magic-facelift-negative-embedding-for-model-2x-fix-yo-ugly-faces) as a negative embedding.
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I used it on 0.3 strength, and it seems like it makes the eyes slightly less wonky. Unclear extent of effect.
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Landscapes haven't been experimented with much and are WIP.
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<div align="center">
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<img src="https://huggingface.co/fzbuzz/TungstenDispo-embedding-sd-v2-1/resolve/main/00000.png">
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900x768 -> 4x LDSR upscaled
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Negative Prompt for all images (Not entirely sure if all of them matter, but does help a bit):
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> (Neg_Facelift768:0.3), (blur:0.3), (cropped:1.3), (ugly:1.3), (bad anatomy:1.2), (disfigured:1.1), (deformed:1.1), (bad proportions:1.3), (extra limbs:1.2), (missing fingers:1.2), (extra fingers:1.2), (out of frame:1.3), (makeup:1.1)
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Positive Prompts:
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First Image:
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>TungstenDispo, photoshoot of a asian female model with white hair, in a dark room, (closeup:0.2)
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Second Image:
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>(TungstenDispo:1.3), photoshoot of a (model:0.7), posed, in a dark room, highly detailed, (closeup:0.2), (skin pores:0.5)
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Third Image:
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>(TungstenDispo:1.2), photoshoot of a model, posed, in a dark room, (closeup:0.2)
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Fourth Image:
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>TungstenDispo, photoshoot of a male model with white hair, posed, in a dark room, (closeup:0.2)
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**Usage for A1111 WebUI**
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768x1024
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Positive Prompt (bolded part altered for image)
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>(TungstenStyle:1.5), cinematic shot of a (empty:1.5) **symmetric glass foyer at night with light faintly shining through the windows**, highly detailed
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Negative Prompt:
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>billboards, signs, words, (blur:0.2)
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<div align="center">
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<img src="https://huggingface.co/fzbuzz/TungstenDispo-embedding-sd-v2-1/resolve/main/background_sample.png">
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</div>
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