
# Original Finetune based on https://civitai.com/models/20562

---

Training settings: First run since v2: 7500 steps, then added MORE DATA of over 1000 images of various concepts and styles - trained it again at 7500 steps, but with a better learning rate at 5e6, Text Encoder steps was around 600 or more? Felt V3 wasn't stable enough, did it again for another 7500 steps, text encoder to 0 cause alread trained. 
All up it training time in theory was only a couple of hours, as we have access to runpod using:  1x RTX A4500, 12 vCPU 62 GB RAM, 20 GB Disk and 120 GB Network Volume.
Trust me, this did actually cost us money as we didn't use Dreambooth via Colab this time, and took over 15 USD to run this, and could've maybe attemtped it with EveryDream trainer isntead, and in fact in future any updates MIGHT be done via that instead of classic dreambooth.

---
Join our Reddit: https://www.reddit.com/r/earthndusk/

Funding for a HUGE ART PROJECT THIS YEAR: https://www.buymeacoffee.com/duskfallxcrew / any chance you can spare a coffee or three? https://ko-fi.com/DUSKFALLcrew

If you got requests, or concerns, We're still looking for beta testers: JOIN THE DISCORD AND DEMAND THINGS OF US: https://discord.gg/Da7s8d3KJ7

Listen to the music that we've made that goes with our art: https://open.spotify.com/playlist/00R8x00YktB4u541imdSSf?si=b60d209385a74b38


---
    license: creativeml-openrail-m
    tags:
    - text-to-image
    - stable-diffusion
    ---
    ### Malware_Dream_v2 Dreambooth model trained by Duskfallcrew with TheLastBen's fast-DreamBooth notebook
    ## THE ANIME MODEL YOU NEVER ASKED FOR
    ### You are legally responsible for any wrong doings you create with this model, and we don't wanna know - so just don't.


    
{"language": ["en"], "license": "creativeml-openrail-m", "library_name": "diffusers", "tags": ["stable diffusion", "anime", "finetune"], "datasets": ["Nerfgun3/bad_prompt", "gsdf/EasyNegative"], "pipeline_tag": "text-to-image"}
diffusers safetensors stable diffusion anime finetune text-to-image en dataset:Nerfgun3/bad_prompt dataset:gsdf/EasyNegative license:creativeml-openrail-m endpoints_compatible has_space diffusers:StableDiffusionPipeline region:us
TAGS
#diffusers #safetensors #stable diffusion #anime #finetune #text-to-image #en #dataset-Nerfgun3/bad_prompt #dataset-gsdf/EasyNegative #license-creativeml-openrail-m #endpoints_compatible #has_space #diffusers-StableDiffusionPipeline #region-us 


# Original Finetune based on URL

---

Training settings: First run since v2: 7500 steps, then added MORE DATA of over 1000 images of various concepts and styles - trained it again at 7500 steps, but with a better learning rate at 5e6, Text Encoder steps was around 600 or more? Felt V3 wasn't stable enough, did it again for another 7500 steps, text encoder to 0 cause alread trained. 
All up it training time in theory was only a couple of hours, as we have access to runpod using:  1x RTX A4500, 12 vCPU 62 GB RAM, 20 GB Disk and 120 GB Network Volume.
Trust me, this did actually cost us money as we didn't use Dreambooth via Colab this time, and took over 15 USD to run this, and could've maybe attemtped it with EveryDream trainer isntead, and in fact in future any updates MIGHT be done via that instead of classic dreambooth.

---
Join our Reddit: URL

Funding for a HUGE ART PROJECT THIS YEAR: URL / any chance you can spare a coffee or three? URL

If you got requests, or concerns, We're still looking for beta testers: JOIN THE DISCORD AND DEMAND THINGS OF US: URL

Listen to the music that we've made that goes with our art: URL


---
    license: creativeml-openrail-m
    tags:
    - text-to-image
    - stable-diffusion
    ---
    ### Malware_Dream_v2 Dreambooth model trained by Duskfallcrew with TheLastBen's fast-DreamBooth notebook
    ## THE ANIME MODEL YOU NEVER ASKED FOR
    ### You are legally responsible for any wrong doings you create with this model, and we don't wanna know - so just don't.


    
# Original Finetune based on URL

---

Training settings: First run since v2: 7500 steps, then added MORE DATA of over 1000 images of various concepts and styles - trained it again at 7500 steps, but with a better learning rate at 5e6, Text Encoder steps was around 600 or more? Felt V3 wasn't stable enough, did it again for another 7500 steps, text encoder to 0 cause alread trained. 
All up it training time in theory was only a couple of hours, as we have access to runpod using:  1x RTX A4500, 12 vCPU 62 GB RAM, 20 GB Disk and 120 GB Network Volume.
Trust me, this did actually cost us money as we didn't use Dreambooth via Colab this time, and took over 15 USD to run this, and could've maybe attemtped it with EveryDream trainer isntead, and in fact in future any updates MIGHT be done via that instead of classic dreambooth.

---
Join our Reddit: URL

Funding for a HUGE ART PROJECT THIS YEAR: URL / any chance you can spare a coffee or three? URL

If you got requests, or concerns, We're still looking for beta testers: JOIN THE DISCORD AND DEMAND THINGS OF US: URL

Listen to the music that we've made that goes with our art: URL


---
    license: creativeml-openrail-m
    tags:
    - text-to-image
    - stable-diffusion
    ---
    ### Malware_Dream_v2 Dreambooth model trained by Duskfallcrew with TheLastBen's fast-DreamBooth notebook
    ## THE ANIME MODEL YOU NEVER ASKED FOR
    ### You are legally responsible for any wrong doings you create with this model, and we don't wanna know - so just don't.
TAGS
#diffusers #safetensors #stable diffusion #anime #finetune #text-to-image #en #dataset-Nerfgun3/bad_prompt #dataset-gsdf/EasyNegative #license-creativeml-openrail-m #endpoints_compatible #has_space #diffusers-StableDiffusionPipeline #region-us 
 # Original Finetune based on URL

---

Training settings: First run since v2: 7500 steps, then added MORE DATA of over 1000 images of various concepts and styles - trained it again at 7500 steps, but with a better learning rate at 5e6, Text Encoder steps was around 600 or more? Felt V3 wasn't stable enough, did it again for another 7500 steps, text encoder to 0 cause alread trained. 
All up it training time in theory was only a couple of hours, as we have access to runpod using:  1x RTX A4500, 12 vCPU 62 GB RAM, 20 GB Disk and 120 GB Network Volume.
Trust me, this did actually cost us money as we didn't use Dreambooth via Colab this time, and took over 15 USD to run this, and could've maybe attemtped it with EveryDream trainer isntead, and in fact in future any updates MIGHT be done via that instead of classic dreambooth.

---
Join our Reddit: URL

Funding for a HUGE ART PROJECT THIS YEAR: URL / any chance you can spare a coffee or three? URL

If you got requests, or concerns, We're still looking for beta testers: JOIN THE DISCORD AND DEMAND THINGS OF US: URL

Listen to the music that we've made that goes with our art: URL


---
    license: creativeml-openrail-m
    tags:
    - text-to-image
    - stable-diffusion
    ---
    ### Malware_Dream_v2 Dreambooth model trained by Duskfallcrew with TheLastBen's fast-DreamBooth notebook
    ## THE ANIME MODEL YOU NEVER ASKED FOR
    ### You are legally responsible for any wrong doings you create with this model, and we don't wanna know - so just don't.