license: other license_name: flux-non-commercial-v2.1 license_link: https://huggingface.co/black-forest-labs/FLUX.2-klein-9B/blob/main/LICENSE.md base_model: ponpoke/flux2-klein-9b-uncensored-text-encoder language:

en
ja tags:
text-to-image
flux2
klein
GGUF
safetensors
text-generation-inference
uncensored
abliterated
abliteration
llama-cpp
gguf-my-repo extra_gated_heading: Safety Warning & Terms of Access extra_gated_prompt: 'This model has safety filtering removed and can generate General NSFW content. By accessing this model, you agree to: (1) Use it responsibly and legally, (2) Not use it to create illegal content, (3) Comply with all applicable laws in your country.' extra_gated_button_content: Acknowledge and Access

wy8edhuh/flux2-klein-9b-uncensored-text-encoder-Q5_K_M-GGUF

This model was converted to GGUF format from ponpoke/flux2-klein-9b-uncensored-text-encoder using llama.cpp via the ggml.ai's GGUF-my-repo space. Refer to the original model card for more details on the model.

Use with llama.cpp

Install llama.cpp through brew (works on Mac and Linux)

brew install llama.cpp

Invoke the llama.cpp server or the CLI.

CLI:

llama-cli --hf-repo wy8edhuh/flux2-klein-9b-uncensored-text-encoder-Q5_K_M-GGUF --hf-file flux2-klein-9b-uncensored-text-encoder-q5_k_m.gguf -p "The meaning to life and the universe is"

Server:

llama-server --hf-repo wy8edhuh/flux2-klein-9b-uncensored-text-encoder-Q5_K_M-GGUF --hf-file flux2-klein-9b-uncensored-text-encoder-q5_k_m.gguf -c 2048

Note: You can also use this checkpoint directly through the usage steps listed in the Llama.cpp repo as well.

Step 1: Clone llama.cpp from GitHub.

git clone https://github.com/ggerganov/llama.cpp

Step 2: Move into the llama.cpp folder and build it with LLAMA_CURL=1 flag along with other hardware-specific flags (for ex: LLAMA_CUDA=1 for Nvidia GPUs on Linux).

cd llama.cpp && LLAMA_CURL=1 make

Step 3: Run inference through the main binary.

./llama-cli --hf-repo wy8edhuh/flux2-klein-9b-uncensored-text-encoder-Q5_K_M-GGUF --hf-file flux2-klein-9b-uncensored-text-encoder-q5_k_m.gguf -p "The meaning to life and the universe is"

./llama-server --hf-repo wy8edhuh/flux2-klein-9b-uncensored-text-encoder-Q5_K_M-GGUF --hf-file flux2-klein-9b-uncensored-text-encoder-q5_k_m.gguf -c 2048

Use with llama.cpp

Install llama.cpp through brew (works on Mac and Linux)

brew install llama.cpp

Invoke the llama.cpp server or the CLI.

CLI:

llama-cli --hf-repo wy8edhuh/flux2-klein-9b-uncensored-text-encoder-Q5_K_M-GGUF --hf-file flux2-klein-9b-uncensored-text-encoder-q5_k_m.gguf -p "The meaning to life and the universe is"

Server:

llama-server --hf-repo wy8edhuh/flux2-klein-9b-uncensored-text-encoder-Q5_K_M-GGUF --hf-file flux2-klein-9b-uncensored-text-encoder-q5_k_m.gguf -c 2048

Note: You can also use this checkpoint directly through the usage steps listed in the Llama.cpp repo as well.

Step 1: Clone llama.cpp from GitHub.

git clone https://github.com/ggerganov/llama.cpp

Step 2: Move into the llama.cpp folder and build it with LLAMA_CURL=1 flag along with other hardware-specific flags (for ex: LLAMA_CUDA=1 for Nvidia GPUs on Linux).

cd llama.cpp && LLAMA_CURL=1 make

Step 3: Run inference through the main binary.

./llama-cli --hf-repo wy8edhuh/flux2-klein-9b-uncensored-text-encoder-Q5_K_M-GGUF --hf-file flux2-klein-9b-uncensored-text-encoder-q5_k_m.gguf -p "The meaning to life and the universe is"

./llama-server --hf-repo wy8edhuh/flux2-klein-9b-uncensored-text-encoder-Q5_K_M-GGUF --hf-file flux2-klein-9b-uncensored-text-encoder-q5_k_m.gguf -c 2048