Pirog17000

``` Description: Exception in server tick loop java.lang.NullPointerException: Exception in server tick loop at net.shadowfacts.discordchat.core.DiscordChat.sendMessage(DiscordChat.java:216) at net.shadowfacts.discordchat.core.DiscordChat.sendMessage(DiscordChat.java:247) at net.shadowfacts.discordchat.one_twelve_two.ForgeEventHandler.onPlayerLoggedOut(ForgeEventHandler.java:41) at net.minecraftforge.fml.common.eventhandler.ASMEventHandler_204_ForgeEventHandler_onPlayerLoggedOut_PlayerLoggedOutEvent.invoke(.dynamic) at net.minecraftforge.fml.common.eventhandler.ASMEventHandler.invoke(ASMEventHandler.java:90) at net.minecraftforge.fml.common.eventhandler.EventBus.post(EventBus.java:179) at net.minecraftforge.fml.common.FMLCommonHandler.firePlayerLoggedOut(FMLCommonHandler.java:579) at net.minecraft.server.management.PlayerList.func_72367_e(PlayerList.java:387) at...

Remapping optifine from official to intermediary Failed to setup optifine: java.lang.RuntimeException: Failed to remap jar at me.modmuss50.optifabric.mod.OptifineSetup.remapOptifine(OptifineSetup.java:234) at me.modmuss50.optifabric.mod.OptifineSetup.remapOptifine(OptifineSetup.java:219) at me.modmuss50.optifabric.mod.OptifineSetup.getRuntime(OptifineSetup.java:167) at me.modmuss50.optifabric.mod.OptifabricSetup.run(OptifabricSetup.java:46) at java.base/java.util.ArrayList.forEach(ArrayList.java:1511) at com.chocohead.mm.Plugin.getMixins(Plugin.java:340) at org.spongepowered.asm.mixin.transformer.PluginHandle.getMixins(PluginHandle.java:128) at...

``` def upscale_callback(obj): print(f"progress: {obj['progress']:.4f}") obj['image'].save("diffusers_library_progress.jpg") . . . . pipe = StableDiffusionUpscalePipeline.from_pretrained("stabilityai/stable-diffusion-x4-upscaler", revision='fp16', custom_pipeline="tiled_upscaling", torch_dtype=torch.float16, low_cpu_mem_usage=True, #low_res_scheduler=DDIMScheduler, ) image = pipe(prompt=current_prompt, image=image_to_upscale, num_inference_steps=parameters['steps'], negative_prompt=current_negative, guidance_scale=parameters['scale'], noise_level=parameters['repaint_amount'], callback=upscale_callback ) image.save(upscale_path)...

Image output example: 

``` pipe = StableDiffusionUpscalePipeline.from_pretrained("stabilityai/stable-diffusion-x4-upscaler", revision='fp16', custom_pipeline="tiled_upscaling", torch_dtype=torch.float16, low_cpu_mem_usage=True, low_res_scheduler=DDIMScheduler(), ) ``` okay, now it doesn't bugging, but still output is really bad. 

@peterwilli

``` File "A:\Utilities\DescriptingLLaVa\LLaVA\BatchCaptionFolder.py", line 35, in tokenizer, model, image_processor, context_len = load_pretrained_model( File "A:\Utilities\DescriptingLLaVa\LLaVA\llava\model\builder.py", line 108, in load_pretrained_model model = LlavaMistralForCausalLM.from_pretrained( NameError: name 'LlavaMistralForCausalLM' is not defined ``` I have...

Noticed a typo? 

If I comment out broken references in builder.py and replace it with direct imports as follow: ``` #from llava.model import * from llava.model.language_model.llava_llama import LlavaLlamaForCausalLM from llava.model.language_model.llava_mpt import LlavaMptForCausalLM as...

> windows is not supported you have to build yourself. any hint on how it is done? or a link to documentation about 'building' (from git I guess?)