Instructions to use comin/IterComp with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use comin/IterComp with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("comin/IterComp", 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
- Draw Things
- DiffusionBee
Download text_encoder_2/model.safetensors from comin/IterComp: direct link, hf CLI and curl.
- Browser
- Download file 1.39 GB
-
https://huggingface.co/comin/IterComp/resolve/main/text_encoder_2/model.safetensors
- Command line
-
hf download hf://comin/IterComp/text_encoder_2/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/comin/IterComp/resolve/main/text_encoder_2/model.safetensors
1.39 GB
- Xet hash:
- f0d2708da7223a8b58513017ac1c9f6e08f2cf00db04ed391df03396b731c9a4
- Size of remote file:
- 1.39 GB
- SHA256:
- 721ab7fbbb26253b525573ddbc46baa9a026ce7623f8af3fa079dc1925d8f227
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