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Weights for neutrophil-morphology classification on GR-Neutro (in-house Gustave Roussy peripheral-blood neutrophil corpus; 4,378 cells, 7 abnormality classes, 10 textbook morphology concepts). Backbone: DinoBloom-B...
Base model: LTXV 2.3 Trained words: footjob.
🖥️ GitHub | 🤗 Hugging Face | 📑 Paper | 🌐 Website
这个版本是使用原版 flux-2-klein-4b-fp8 融合 FLUX.2-klein-4B更有真实感皮肤 这个 Lora 的效果
Works best at 0.75 weight.
Model for SyncDreamer: Generating Multiview-consistent Images from a Single-view Image.
Works best at 0.75 weight.
commercial
Base model: LTXV2 Trained words:
cure black, ahoge, (brown eyes:1.5), brown hair, eyelashes, short hair, (swept bangs:1.5),
This model is a fine-tuned version of facebook/wav2vec2-base-100k-voxpopuli on an unknown dataset. It achieves the following results on the evaluation set: Loss: 2.6483 Accuracy: 0.0796
Tracer from Overwatch. Quick, Quicky, Tracer. The Union Jack naturally switches sides when u prompt it and she is generated from the right. Guns look good, rest works fine i think.