Instructions to use fusing/karlo-image-variations-diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use fusing/karlo-image-variations-diffusers with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("fusing/karlo-image-variations-diffusers", 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
Download text_proj/config.json from fusing/karlo-image-variations-diffusers: direct link, hf CLI and curl.
- Browser
- Download file 379 Bytes
-
https://huggingface.co/fusing/karlo-image-variations-diffusers/resolve/main/text_proj/config.json
- Command line
-
hf download hf://fusing/karlo-image-variations-diffusers/text_proj/config.json
-
curl -L -o config.json https://huggingface.co/fusing/karlo-image-variations-diffusers/resolve/main/text_proj/config.json
379 Bytes
| { | |
| "_class_name": "UnCLIPTextProjModel", | |
| "_diffusers_version": "0.12.0.dev0", | |
| "_name_or_path": "/home/william_huggingface_co/.cache/huggingface/diffusers/models--kakaobrain--karlo-v1-alpha/snapshots/c8dc0970acf0db0b6b4efb8c47adc22072b4a67d/text_proj", | |
| "clip_embeddings_dim": 768, | |
| "clip_extra_context_tokens": 4, | |
| "cross_attention_dim": 1536, | |
| "time_embed_dim": 1280 | |
| } | |