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The game is also logically inconsistent in parts: there are one or two locations which lead to an abrupt 'something stops me' message, but I never figured out what and, despite superhuman senses, our hero falls and breaks his neck at one point. Despite an okay plot, the game quickly degenerates into a tedious game of running errands for various characters ("Spider-Man the Errand Boy" would be an appropriate subtitle).Īlthough the solution to the encounters with these characters can be gleaned from the information in the manual's glossary, there are still several illogical puzzles that can only be solved by pure trial-and-error. When the game begins, we find that our hero has been captured, his mind stripped of everything he knows (a convenient excuse for us controlling him). He wields his power of hypnosis and illusion from behind a fishbowl helmet supplied with oxygen to isolate him from the thick gas emitted from his canisters which obscure Spider-Man's vision and spider senses. Spider-Man's assailant in this episode is the former Hollywood special effects designer Quentin Beck, otherwise known as Mysterio. In keeping with the theme, the background to the adventure and the loading instructions are contained within a comic which features a long comic strip episode entitled 'Mysterio times two!', which is a fun read.

You may re-distribute the weights and use the model commercially and/or as a service.Spider-Man follows The Hulk as the second instalment in the Questprobe link-up between Marvel Comics and Scott Adams marketed in the UK by Adventure International.

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 can't use the model to deliberately produce nor share illegal or harmful outputs or content.

The CreativeML OpenRAIL License specifies: This model is open access and available to all, with a CreativeML OpenRAIL-M license further specifying rights and usage. This model was trained using the diffusers based dreambooth training and prior-preservation loss in 3.000 steps. Portraits rendered with the model: Sample images used for training: Prompt = "a magical princess with golden hair, spiderverse style" Pipe = om_pretrained(model_id, torch_dtype=torch.float16)

Model_id = "nitrosocke/spider-verse-diffusion" #!pip install diffusers transformers scipy torch from diffusers import StableDiffusionPipeline You can also export the model to ONNX, MPS and/or FLAX/JAX. Please have a look at the Stable Diffusion.

This model can be used just like any other Stable Diffusion model. If you enjoy my work, please consider supporting me Use the tokens spiderverse style in your prompts for the effect.

This is the fine-tuned Stable Diffusion model trained on movie stills from Sony's Into the Spider-Verse.