CoolFace
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second-state/FLUX.1-Canny-dev-GGUF

sourceHugging Faceotherupdated 2y agoView on Hugging Face
13likes442downloads
Model Card

<!-- header start --> <!-- 200823 --> <div style="width: auto; margin-left: auto; margin-right: auto"> <img src="https://github.com/LlamaEdge/LlamaEdge/raw/dev/assets/logo.svg" style="width: 100%; min-width: 400px; display: block; margin: auto;"> </div> <hr style="margin-top: 1.0em; margin-bottom: 1.0em;"> <!-- header end -->

[!CAUTION] T5 and Clip are still not provided in the original model

FLUX.1-Canny-dev-GGUF

Original Model

black-forest-labs/FLUX.1-Canny-dev

Run with LlamaEdge-StableDiffusion

  • Version: coming soon

<!-- - Version: 0.1.4

  • Run as LlamaEdge service
bash
  wasmedge --dir .:. sd-api-server.wasm \
    --model-name flux1-canny-dev \
    --diffusion-model flux1-canny-dev-Q4_0.gguf \
    --vae ae.safetensors \
    --clip-l clip_l.safetensors \
    --t5xxl t5xxl-Q8_0.gguf
  • Run with LoRA

Assume that the LoRA model is located in the lora-models directory

bash
    wasmedge --dir .:. \
      --dir lora-models:lora-models \
      sd-api-server.wasm \
      --model-name flux1-canny-dev \
      --diffusion-model flux1-canny-dev-Q4_0.gguf \
      --vae ae.safetensors \
      --clip-l clip_l.safetensors \
      --t5xxl t5xxl-Q8_0.gguf \
      --lora-model-dir lora-models

For details, see https://github.com/LlamaEdge/sd-api-server/blob/main/examples/flux_with_lora.md -->

Quantized GGUF Models

NameQuant methodBitsSizeUse case
ae.safetensorsf3232335 MB
flux1-canny-dev-Q2_K.ggufQ2_K24.15 GB
flux1-canny-dev-Q3_K.ggufQ3_K35.35 GB
flux1-canny-dev-Q4_0.ggufQ4_046.93 GB
flux1-canny-dev-Q4_1.ggufQ4_147.67 GB
flux1-canny-dev-Q4_K.ggufQ4_K46.93 GB
flux1-canny-dev-Q5_0.ggufQ5_058.40 GB
flux1-canny-dev-Q5_1.ggufQ5_159.14 GB
flux1-canny-dev-Q8_0.ggufQ8_0812.6 GB
flux1-canny-dev.safetensorsf161623.8 GB
<!--clip_l-Q8_0.ggufQ8_08131 MB
clip_l.safetensorsf1616246 MB
t5xxl-Q2_K.ggufQ2_K21.61 GB
t5xxl-Q3_K.ggufQ3_K32.10 GB
t5xxl-Q4_0.ggufQ4_042.75 GB
t5xxl-Q4_1.ggufQ4_043.06 GB
t5xxl-Q4_K.ggufQ4_K42.75 GB
t5xxl-Q5_0.ggufQ5_053.36 GB
t5xxl-Q5_1.ggufQ5_153.67 GB
t5xxl-Q8_0.ggufQ8_085.20 GB
t5xxl_fp16.safetensorsf16169.79 GB-->

Quantized with stable-diffusion.cpp `master-c3eeb669`.