SDXL

Anime Confetti Comrade Mix

Anime Confetti Comrade Mix - AI Model cover image
อัปโหลดเมื่อ
16 มี.ค. 2567 03:01
การใช้งาน
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รีวิว
ยอดเยี่ยม  (11)
ขั้นตอนการสุ่ม

25

วิธีการสุ่มตัวอย่าง

Euler a

ค่า CFG

6

ไม่ต้องการ

blurry, greyscale, white background, watermark, signature,

สิทธิ์
  • Allow image generation & sharing
  • อนุญาตให้ผู้ใช้ดาวน์โหลดโมเดลของคุณ
  • เชิงพาณิชย์

คำอธิบาย

Model is a 50/50 merge of Anim3 Confetti and Comradeship v5a DPO so it is the same as Confetti Comrade Mix with newer base models.Model has a stronger anime style and more consistent backgrounds than base Pony Diffusion V6 model making it easier to prompt. It is compatible with Lora trained on Pony Diffusion and include the same characters and styles in addition to ones added by Anim3 Confetti.Don't forget to download the config file and place it in the same folder as the model.Style can be applied by using art by (name)Look at attached images for examples of how this modifies the image.Recommended positive prompt:score_9, score_8, score_7, source_anime, rating_safeYou can replace rating_safe with rating_questionable or rating_explicit based on your preference or exclude the rating.You may get a more detailed composition using:score_9, score_8_up, score_7_up, score_6_up, score_5_up, score_4_up, source_animeThese up tags are recommended by the creator of Pony Diffusion. However, depending on the character being drawn this may give the image more of a western comic style. You can use an artist style tag or lora to override this behavior.For a lower detail style with more anime influence use:score_9, source_animeRecommended negative prompt:score_4, score_5, source_furry, source_pony, source_cartoonLook at the x/y plot images in the gallery to see examples of how positive and negative prompts affect the image. The x-axis is the positive prompt and the y-axis is the negative prompt.All images are generated with Euler A sampling method, 6 CFG Scale, and 30 steps using WebUI Forge. WebUI Forge is built on top of Automatic1111's backend but has lower VRAM usage and higher performance. Try it out!

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