Instructions to use Virtuos-rnd/flux_upscale_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Virtuos-rnd/flux_upscale_model with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline from diffusers.utils import load_image # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Virtuos-rnd/flux_upscale_model", dtype=torch.bfloat16, device_map="cuda") prompt = "Turn this cat into a dog" input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png") image = pipe(image=input_image, prompt=prompt).images[0] - Notebooks
- Google Colab
- Kaggle
Download config.json from Virtuos-rnd/flux_upscale_model: direct link, hf CLI and curl.
- Browser
- Download file 487 Bytes
-
https://huggingface.co/Virtuos-rnd/flux_upscale_model/resolve/main/config.json
- Command line
-
hf download hf://Virtuos-rnd/flux_upscale_model/config.json
-
curl -L -o config.json https://huggingface.co/Virtuos-rnd/flux_upscale_model/resolve/main/config.json
487 Bytes
| { | |
| "_class_name": "FluxControlNetModel", | |
| "_diffusers_version": "0.31.0.dev0", | |
| "_name_or_path": "/data/checkpoints/flux_controlnet_hf/controlnet_upscaling//", | |
| "attention_head_dim": 128, | |
| "axes_dims_rope": [ | |
| 16, | |
| 56, | |
| 56 | |
| ], | |
| "guidance_embeds": true, | |
| "in_channels": 64, | |
| "joint_attention_dim": 4096, | |
| "num_attention_heads": 24, | |
| "num_layers": 5, | |
| "num_mode": null, | |
| "num_single_layers": 0, | |
| "patch_size": 1, | |
| "pooled_projection_dim": 768 | |
| } | |