Instructions to use diffusers-internal-dev/sd35-controlnet-blur-8b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use diffusers-internal-dev/sd35-controlnet-blur-8b with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("diffusers-internal-dev/sd35-controlnet-blur-8b") pipe = StableDiffusionControlNetPipeline.from_pretrained( "fill-in-base-model", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download config.json from diffusers-internal-dev/sd35-controlnet-blur-8b: direct link, hf CLI and curl.
- Browser
- Download file 554 Bytes
-
https://huggingface.co/diffusers-internal-dev/sd35-controlnet-blur-8b/resolve/main/config.json
- Command line
-
hf download hf://diffusers-internal-dev/sd35-controlnet-blur-8b/config.json
-
curl -L -o config.json https://huggingface.co/diffusers-internal-dev/sd35-controlnet-blur-8b/resolve/main/config.json
554 Bytes
| { | |
| "_class_name": "SD3ControlNetModel", | |
| "_diffusers_version": "0.32.0.dev0", | |
| "attention_head_dim": 64, | |
| "caption_projection_dim": 2048, | |
| "dual_attention_layers": [], | |
| "extra_conditioning_channels": 0, | |
| "force_zeros_for_pooled_projection": false, | |
| "in_channels": 16, | |
| "joint_attention_dim": null, | |
| "num_attention_heads": 38, | |
| "num_layers": 19, | |
| "out_channels": 16, | |
| "patch_size": 2, | |
| "pooled_projection_dim": 2048, | |
| "pos_embed_max_size": null, | |
| "pos_embed_type": null, | |
| "qk_norm": null, | |
| "sample_size": 128, | |
| "use_pos_embed": false | |
| } | |