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MJV4 Hypernetwork

675
9.2k
17
Updated: Oct 4, 2024
stylemidjourneyportraits
jwt3tmpk5s2a1.webp
6dfpd6k05s2a1.webp
p169pp0i5s2a1.webp
nl3kdmxj5s2a1.webp
From Community
02427-2430371937-little mermaid, red hair, long hair, mermaid, mermaid tail, underwater, masterpiece, detailed, portrait, octane render, highly d.png
From Community
02423-3305041585-little mermaid, red hair, long hair, mermaid, mermaid tail, underwater, masterpiece, detailed, portrait, octane render, highly d.png
Images hidden due to mature content settings
Download (109.86 MB)
Verified:
PickleTensor
Type
Hypernetwork
Stats
9,164
Reviews
(675)
Published
Dec 7, 2022
Base Model
SD 1.5
Training
Steps: 21,000
Trigger Words
portrait
octane render
highly detailed
Hash
AutoV2
48D9FA50CF
jwt3tmpk5s2a1.webp
6dfpd6k05s2a1.webp
p169pp0i5s2a1.webp
nl3kdmxj5s2a1.webp
From Community
02427-2430371937-little mermaid, red hair, long hair, mermaid, mermaid tail, underwater, masterpiece, detailed, portrait, octane render, highly d.png
From Community
02423-3305041585-little mermaid, red hair, long hair, mermaid, mermaid tail, underwater, masterpiece, detailed, portrait, octane render, highly d.png
Images hidden due to mature content settings

Originally posted to HuggingFace by Hamaru and shared on Reddit.

Hypernetwork trained on some Midjourney V4 portraits.

Euler a and DPM++ samplers work best. CFG scale at 7 and low step count (<50) work well.

Prompts should include words like "portrait", "octane render" and "highly detailed" for best results. Avoid using face restoration like GFPGAN or CodeFormer if possible