Sd15 ControlNet Colorguide T 20K Epoch 5 Lr 1e 5
These are controlnet weights trained on stable-diffusion-v1-5/stable-diffusion-v1-5 with new type of conditioning. You can find some example images below.
Modellquelle
- Art
- ControlNet
- Dateigröße
- 1,35 GB
- Basismodell
- stable-diffusion-v1-5/stable-diffusion-v1-5
- Version
- vdiffusion_pytorch_model
- Aktualisiert
- 7. Okt. 2026
- Downloads
- 14
- Quelle
- Hugging Face
Quellenbeschreibung
controlnet-kushaaagr/sd15_controlnet-colorguide-t_20K-epoch_5-lr_1e-5
These are controlnet weights trained on stable-diffusion-v1-5/stable-diffusion-v1-5 with new type of conditioning. You can find some example images below.
prompt: a photo of a dog images_0) prompt: a monitor with wallpaper images_1) prompt: a photo of a shark images_2)
Intended uses & limitations
How to use
# TODO: add an example code snippet for running this diffusion pipeline
Limitations and bias
[TODO: provide examples of latent issues and potential remediations]
Training details
[TODO: describe the data used to train the model]
Quellen
1 Quelle
Quellen
1 QuelleVerifiziert 7. Okt.
Modellartefakte
1 Artefakt
Modellartefakte
1 Artefaktcheckpoint-10000/controlnet/diffusion_pytorch_model.safetensors
safetensors · 1,35 GB · SHA-256 936a6fd3c150…cc76 · Hugging Face
Download fileQuellenauszüge
3 Auszüge
Quellenauszüge
3 Auszüge--- base_model: stable-diffusion-v1-5/stable-diffusion-v1-5 library_name: diffusers license: creativeml-openrail-m inference: true tags: - stable-diffusion - stable-diffusion-diffusers - text-to-image - diffusers - controlnet - diffusers-training --- <!-- This model card has been generated automatically according to the information the training script had access to. You should probably proofread and complete it, then remove this comment. --> # controlnet-kushaaagr/sd15_controlnet-colorguide-t_20K-epoch_5-lr_1e-5 These are controlnet weights trained on stable-diffusion-v1-5/stable-diffusion-v1-5 with new type of conditioning. You can find some example images below. prompt: a photo of a dog  prompt: a monitor with wallpaper  prompt: a photo of a shark  ## Intended uses & limitations #### How to use ```python # TODO: add an example code snippet for running this diffusion pipeline ``` #### Limitations and bias [TODO: provide examples of latent issues and potential remediations] ## Training details [TODO: describe the data used to train the model]
Source context: 14 downloads · 0 likes · Pipeline text-to-image · Library diffusers · Repo kushaaagr/sd15_controlnet-colorguide-t_20K-epoch_5-lr_1e-5
Source context: 5 downloads · 0 likes · Pipeline text-to-image · Library diffusers · Repo kushaaagr/sd15_controlnet-colorguide-t_20K-epoch_5-lr_1e-5
