Instructions to use wiikoo/cf-1028 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use wiikoo/cf-1028 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("wiikoo/cf-1028", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use wiikoo/cf-1028 with llama.cpp:
Install (macOS, Linux)
curl -LsSf https://llama.app/install.sh | sh # Start a local OpenAI-compatible server with a web UI: llama serve -hf wiikoo/cf-1028:Q4_K_M # Run inference directly in the terminal: llama cli -hf wiikoo/cf-1028:Q4_K_M
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf wiikoo/cf-1028:Q4_K_M # Run inference directly in the terminal: llama cli -hf wiikoo/cf-1028:Q4_K_M
Build from source code
git clone https://github.com/ggml-org/llama.cpp.git cd llama.cpp cmake -B build cmake --build build -j --target llama-app # Start a local OpenAI-compatible server with a web UI: ./build/bin/llama serve -hf wiikoo/cf-1028:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama cli -hf wiikoo/cf-1028:Q4_K_M
Use Docker
docker model run hf.co/wiikoo/cf-1028:Q4_K_M
- Llama new
- LM Studio
- Jan
- Ollama
How to use wiikoo/cf-1028 with Ollama:
ollama run hf.co/wiikoo/cf-1028:Q4_K_M
- Unsloth Desktop
- Docker Model Runner
How to use wiikoo/cf-1028 with Docker Model Runner:
docker model run hf.co/wiikoo/cf-1028:Q4_K_M
- Lemonade
How to use wiikoo/cf-1028 with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull wiikoo/cf-1028:Q4_K_M
Run and chat with the model
lemonade run user.cf-1028-Q4_K_M
List all available models
lemonade list
- Atomic Chat
Download facerestore_models/codeformer.pth from wiikoo/cf-1028: direct link, hf CLI and curl.
- Browser
- Download file 377 MB
-
https://huggingface.co/wiikoo/cf-1028/resolve/main/facerestore_models/codeformer.pth
- Command line
-
hf download hf://wiikoo/cf-1028/facerestore_models/codeformer.pth
-
curl -L -o codeformer.pth https://huggingface.co/wiikoo/cf-1028/resolve/main/facerestore_models/codeformer.pth
377 MB
- Xet hash:
- 0ae7ea7cab0b5e8916a19330ddc5cc8aa83177ccd23779dc48225a37f14f3517
- Size of remote file:
- 377 MB
- SHA256:
- 1009e537e0c2a07d4cabce6355f53cb66767cd4b4297ec7a4a64ca4b8a5684b7
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