
Cinematix Inpainting (NEW)
In Forge, set XL as your model type and select cinematix.inpainting.safetensors as your model. Go to Img2img tab to Generation/Inpaint. Load your image and mask the area you want to change. Set a simple prompt describing the changes. Generate. Change the Denoising strength if you want a stronger effect. You should get nice outputs right away.
Experiment with Inpaint area Whole picture/Only masked. If using Whole picture, set the image size to your input image aspect ratio.
Also worth checking out:
Cinematix CosXL EDIT is realistic SDXL Pix2Pix model for editing. It uses a different workflow and you can find it here:
https://civitai.com/models/396070/cinematix-cosxl-edit
Cinematix L8 Inpainting
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Use CFG 1.5-4 for 10-20 steps, Euler A, DPM++2Sa + SGMUniform schedule
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Created for Flux experiments, check also Photomatix SD Inpainting model for fast sketches
Cinematix L8
Performs better in upscaling, needs more steps. Cinematic photo style.
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Lightning Model, Use CFG 1.5 for 10-12 steps
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For more steps, adjust CFG proportionally (~ CFG 2 for 24st., CFG 2.5 for 36st)
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Works best with Euler A + SGMUniform schedule
Cinematix L4
Scenes should be better defined when using cinematic styles.
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Lightning Model, Use CFG 1.5-2
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Steps 7-12 for Euler A, DPM++ 2S a, and similar samplers for a nice single-pass image (should generate a nice picture with minimum artifacts)
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More steps can be used for the LCM sampler
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Recommended 'Euler A SGMUniform' sampler (Forge)
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For best details, experiment with a 2-pass workflow (in A1111, use Hires fix tweaks and LCM in the second pass)
Cinematix Lightning
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Use CFG 1.5
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steps 5-12 in a single pass for a nice picture
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LCM or Euler A SGMUniform sampler (standard samplers can/will output strange colors or artifacts)
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2-pass can use 3-4 steps + 3+ steps in Hire fix, Denoising strength around 0.5
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Note that SDXL-Lightning performs best in resolutions around 1024
More about the workflows in this article on [sandner.art].
Cinematix SDXL v1
Cinematix is a very fast realistic SDXL model. Read more details in an extensive article on my pages.
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You may use standard samplers with lower steps 5+ (but you should go higher), recommended 12 steps for most scenes
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Samplers: DPM++ 2S a, LMS Karras, Euler a (LCM not performing well in low steps)
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You may use Photomatix and Animatix experimental styles for great results. Download them here. Read the instructions first. There are classic SDXL styles for your reference tests too.
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You may use higher CFG (4-7+), instead of the usual LCM CFG 1.5.
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An extensive negative prompt is NOT needed. Actually, in most cases, the negative prompt is not needed at all. Check the gallery for examples.
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You may be very brief when prompting. Examples in the gallery are for comparison with my previous checkpoints and posts.
If you create something interesting with it, post a review.
Cinematix was created by merging and experimenting with these models:
StabilityAI SDXL
SDXL-Lightning https://huggingface.co/ByteDance/SDXL-Lightning, https://arxiv.org/abs/2402.13929
L8:
描述:
adjusted for portraits and scenes
训练词语:
名称: cinematix_l8.safetensors
大小 (KB): 6775430
类型: Model
Pickle 扫描结果: Success
Pickle 扫描信息: No Pickle imports
病毒扫描结果: Success