The current model has been fine-tuned with a learning rate of 1e-05 for 1 epoch on 81K text-image pairs from wikiart dataset. Only the attention layers of the model are fine-tuned. This is done to avoid catastrophic forgetting, the model can generate artistic images given specific prompts but still retains most of its previous knowledge.
Training Data
TODO
License
This model is open access and available to all, with a CreativeML OpenRAIL-M license further specifying rights and usage.
The CreativeML OpenRAIL License specifies:
You can't use the model to deliberately produce nor share illegal or harmful outputs or content
The authors claims no rights on the outputs you generate, you are free to use them and are accountable for their use which must not go against the provisions set in the license
You may re-distribute the weights and use the model commercially and/or as a service. If you do, please be aware you have to include the same use restrictions as the ones in the license and share a copy of the CreativeML OpenRAIL-M to all your users (please read the license entirely and carefully)
Please read the full license here
Downstream Uses
This model can be used for entertainment purposes and as a generative art assistant.
Example Code
import torch
from diffusers import StableDiffusionPipeline
model_id = "valhalla/sd-wikiart-v2"
device = "cuda"
pipe = StableDiffusionPipeline.from_pretrained(
model_id,
torch_dtype=torch.float16,
)
pipe = pipe.to(device)
prompt = "a painting of eiffel tower in the style of surrealism"with torch.autocast("cuda"):
image = pipe(prompt, guidance_scale=7.5).images[0]
image.save("eiffel_impressionism.png")
Runs of valhalla sd-wikiart-v2 on huggingface.co
16
Total runs
0
24-hour runs
0
3-day runs
-1
7-day runs
6
30-day runs
More Information About sd-wikiart-v2 huggingface.co Model
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valhalla sd-wikiart-v2 online free url in huggingface.co:
sd-wikiart-v2 is an open source model from GitHub that offers a free installation service, and any user can find sd-wikiart-v2 on GitHub to install. At the same time, huggingface.co provides the effect of sd-wikiart-v2 install, users can directly use sd-wikiart-v2 installed effect in huggingface.co for debugging and trial. It also supports api for free installation.